Prediction based cost estimation technique in agile development
Agile has been invented to improve and overcome the deficiencies of efficient software development. At present, the agile model is used in software development vastly due to its support to both developers and clients resourcefully. Agile methodology increases the interaction between the developer an...
- Autores:
-
Aziz Butt, Shariq
Ercan, Tuncay
Binsawad, Muhammad
Paola Patricia, Ariza-Colpas
Diaz-Martínez, Jorge
Piñeres Espitia, Gabriel Dario
De-La-Hoz-Franco, Emiro
Piñeres Melo, Marlon Alberto
Morales Ortega, Roberto
De la Hoz Hernández, Juan David
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2023
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/9899
- Acceso en línea:
- https://hdl.handle.net/11323/9899
https://repositorio.cuc.edu.co/
- Palabra clave:
- Agile limitations
Agile project cost and time estimation
Estimation technique
- Rights
- embargoedAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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Prediction based cost estimation technique in agile development |
| title |
Prediction based cost estimation technique in agile development |
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Prediction based cost estimation technique in agile development Agile limitations Agile project cost and time estimation Estimation technique |
| title_short |
Prediction based cost estimation technique in agile development |
| title_full |
Prediction based cost estimation technique in agile development |
| title_fullStr |
Prediction based cost estimation technique in agile development |
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Prediction based cost estimation technique in agile development |
| title_sort |
Prediction based cost estimation technique in agile development |
| dc.creator.fl_str_mv |
Aziz Butt, Shariq Ercan, Tuncay Binsawad, Muhammad Paola Patricia, Ariza-Colpas Diaz-Martínez, Jorge Piñeres Espitia, Gabriel Dario De-La-Hoz-Franco, Emiro Piñeres Melo, Marlon Alberto Morales Ortega, Roberto De la Hoz Hernández, Juan David |
| dc.contributor.author.none.fl_str_mv |
Aziz Butt, Shariq Ercan, Tuncay Binsawad, Muhammad Paola Patricia, Ariza-Colpas Diaz-Martínez, Jorge Piñeres Espitia, Gabriel Dario De-La-Hoz-Franco, Emiro Piñeres Melo, Marlon Alberto Morales Ortega, Roberto De la Hoz Hernández, Juan David |
| dc.subject.proposal.eng.fl_str_mv |
Agile limitations Agile project cost and time estimation Estimation technique |
| topic |
Agile limitations Agile project cost and time estimation Estimation technique |
| description |
Agile has been invented to improve and overcome the deficiencies of efficient software development. At present, the agile model is used in software development vastly due to its support to both developers and clients resourcefully. Agile methodology increases the interaction between the developer and client to make the software product defect-free. The agile model is getting to be a well-known life cycle model because of its particular features and most owing is to allow changes at any level of the project from the product owner. However, on other hand, this novel feature is a disadvantage of the agile model due to frequent change requests from the client has increased the cost and time. To overcome cost and time estimation issues different cost estimation techniques are being used in agile development but no one is pertinent for accurate estimation. Therefore, this study has proposed a cost estimation technique. The proposed estimation technique is predictions-based and has different categorizations of projects based on user stories complexities and the developer's expertise. We have applied the suggested technique to ongoing projects to find the results and effectiveness. We have used two projects with different sizes and user stories. Both projects have different modules and developers with different expertise. We have used the proposed estimation technique on projects and done a survey session with the teams. This survey session's main objective is to reveal the statistical findings of the proposed solution. We have designed the 12 hypotheses for statistical analysis. |
| publishDate |
2023 |
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2023-02-10T20:18:23Z |
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2023-02-10T20:18:23Z 2025-01-01 |
| dc.date.issued.none.fl_str_mv |
2023-01-01 |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Shariq Aziz Butt, Tuncay Ercan, Muhammad Binsawad, Paola-Patricia Ariza-Colpas, Jorge Diaz-Martinez, Gabriel Piñeres-Espitia, Emiro De-La-Hoz-Franco, Marlon Alberto Pineres Melo, Roberto Morales Ortega, Juan-David De-La-Hoz-Hernández, Prediction based cost estimation technique in agile development, Advances in Engineering Software, Volume 175, 2023, 103329, ISSN 0965-9978, https://doi.org/10.1016/j.advengsoft.2022.103329 |
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0965-9978 |
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https://hdl.handle.net/11323/9899 |
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10.1016/j.advengsoft.2022.103329 |
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1873-5339 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
Shariq Aziz Butt, Tuncay Ercan, Muhammad Binsawad, Paola-Patricia Ariza-Colpas, Jorge Diaz-Martinez, Gabriel Piñeres-Espitia, Emiro De-La-Hoz-Franco, Marlon Alberto Pineres Melo, Roberto Morales Ortega, Juan-David De-La-Hoz-Hernández, Prediction based cost estimation technique in agile development, Advances in Engineering Software, Volume 175, 2023, 103329, ISSN 0965-9978, https://doi.org/10.1016/j.advengsoft.2022.103329 0965-9978 10.1016/j.advengsoft.2022.103329 1873-5339 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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https://hdl.handle.net/11323/9899 https://repositorio.cuc.edu.co/ |
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eng |
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Advances in Engineering Software |
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[1] Kuhrmann M, Tell P, Hebig R, Klunder JAC, Munch J, Linssen O, Richardson I. What makes agile software development agile. IEEE Trans Software Eng 2021. [2] Khalid A, Butt SA, Jamal T, Gochhait S. Agile scrum issues at large-scale distributed projects: scrum project development at large. Int J Softw Innov (IJSI) 2020;8(2): 85–94. [3] Kaim R, H¨ arting RC, Reichstein C. Benefits of agile project management in an environment of increasing complexity—a transaction cost analysis. Intelligent decision technologies 2019. Singapore: Springer; 2019. p. 195–204. [4] Khmelevsky Y, Li X, Madnick S. Software development using agile and scrum in distributed teams. In: 2017 Annual IEEE International Systems Conference (SysCon). IEEE; 2017, April. p. 1–4. [5] Rodríguez P, Haghighatkhah A, Lwakatare LE, Teppola S, Suomalainen T, Eskeli J, Oivo M. Continuous deployment of software intensive products and services: a systematic mapping study. J Syst Softw 2017;123:263–91. [6] Rasheed A, Zafar B, Shehryar T, Aslam NA, Sajid M, Ali N, Khalid S. Requirement engineering challenges in agile software development. Math Probl Eng 2021:2021. [7] Ramessur MA, Nagowah SD. A predictive model to estimate effort in a sprint using machine learning techniques. Int J Inform Technol 2021;13(3):1101–10. [8] Obilor NA, Chibuike AAOAB, Donatus NO. Constructive cost model II metrics for estimating cost of indigenous software. Int J Adv Eng Res Sci 2021;8:7. [9] Butt SA, Jamal T. Frequent change request from user to handle cost on project in agile model. Proc Asia Pacific J Multidiscipl Res 2017;5(2):26–42. [10] Chirra SMR, Reza H. A survey on software cost estimation techniques. J Softw Eng Applic 2019;12(06):226. [11] Shah J, Kama N. Extending function point analysis effort estimation method for software development phase. In: Proceedings of the 2018 7th International Conference on Software and Computer Applications; 2018, February. p. 77–81. [12] Venkatesh V, Thong JY, Chan FK, Hoehle H, Spohrer K. How agile software development methods reduce work exhaustion: Insights on role perceptions and organizational skills. Inform Syst J 2020;30(4):733–61. [13] Kaur I, Narula GS, Wason R, Jain V, Baliyan A. Neuro fuzzy—COCOMO II model for software cost estimation. Int J Inform Technol 2018;10(2):181–7. [14] Jørgensen M. Top-down and bottom-up expert estimation of software development effort. Inform Softw Technol 2004;46(1):3–16. [15] Jorgensen M. Relationships between project size, agile practices, and successful software development: results and analysis. IEEE Softw 2019;36(2):39–43. [16] Rankovic N, Rankovic D, Ivanovic M, Lazic L. A new approach to software effort estimation using different artificial neural network architectures and Taguchi orthogonal arrays. IEEE Access 2021;9:26926–36. [17] Villalobos-Arias L, Quesada-Lopez ´ C, Guevara-Coto J, Martínez A, Jenkins M. Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation. In: Proceedings of the 16th ACM International Conference on Predictive Models and Data Analytics in Software Engineering; 2020, November. p. 31–40. [18] Rygge H, Jøsang A. Threat poker: Solving security and privacy threats in agile software development. In: Nordic Conference on Secure IT Systems. Cham: Springer; 2018, November. p. 468–83. [19] Nhung HLTK, Hoc HT, Hai VV. A review of use case-based development effort estimation methods in the system development context. In: Proceedings of the Computational Methods in Systems and Software; 2019. p. 484–99. [20] Shekhar S, Kumar U. Review of various software cost estimation techniques. Int J Comput Applic 2016;141(11):31–4. [21] Dalal S, Dahiya N, Jaglan V. Efficient tuning of COCOMO model cost drivers through generalized reduced gradient (GRG) nonlinear optimization with best-fit analysis. Progress in Advanced Computing and Intelligent Engineering. Singapore: Springer; 2018. p. 347–54. [22] Kumar KH, Srinivas K. Preliminary performance study of a brief review on machine learning techniques for analogy based software effort estimation. J Amb Intell Human Comput 2021:1–25. [23] Aizaz F, Janjua UI, Zafar H, Khan JA, Kazim I. An empirical investigation on software cost estimation techniques and barriers on agile software development in software industry of Pakistan. In: 2021 International Conference on Frontiers of Information Technology (FIT). IEEE; 2021, December. p. 194–9. [24] S´ anchez R, Pinto-Roa DP. A new approach to software effort estimation using linear genetic programming. Proceed Ser Braz Soc Comput Appl Math 2018;6(1). [25] Sakhrawi Z, Sellami A, Bouassida N. Support vector regression for enhancement effort prediction of Scrum projects from COSMIC functional size. Innov Syst Softw Eng 2022;18(1):137–53. [26] Kaushik A, Tayal DK, Yadav K. The role of neural networks and metaheuristics in agile software development effort estimation. Research Anthology on Artificial Neural Network Applications. IGI Global; 2022. p. 306–28. [27] Boehm BW. Software cost estimation meets software diversity. In: Software Engineering Companion (ICSE-C), 2017 IEEE/ACM 39th International Conference on. IEEE; 2017, May. p. 495–6. [28] Przybylek A, Zakrzewski M. Adopting collaborative games into agile requirements engineering. In: 13th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE’18); 2018. https://doi.org/10.5220/0006681900540064. [29] Zhang Z. The benefits and challenges of planning poker in software development: comparison between theory and practice (doctoral dissertation. Auckland University of Technology; 2017. [30] Przybylek A, Albecka M, Springer O, Kowalski W. Game-based Sprint retrospectives: multiple action research. Empir Softw Eng 2022;27. https://doi.org/10.1007/s10664-021-10043-z. [31] Khuat TT, Le MH. A novel hybrid abc-pso algorithm for effort estimation of software projects using agile methodologies. J Intell Syst 2018;27(3):489–506. [32] Menzies T, Yang Y, Mathew G, Boehm B, Hihn J. Negative results for software effort estimation. Empir Softw Eng 2017;22(5):2658–83. [33] Hamid M, Zeshan F, Ahmad A, Ahmad F, Hamza MA, Khan ZA, Aljuaid H. An intelligent recommender and decision support system (IRDSS) for effective management of software projects. IEEE Access 2020;8:140752–66. [34] Lee DH, Chang IH, Pham H, Song KY. A software reliability model considering the syntax error in uncertainty environment, optimal release time, and sensitivity analysis. Appl Sci 2018;8(9):1483. [35] Silhavy R, Silhavy P, Prokopova Z. Using actors and use cases for software size estimation. Electronics 2021;10(5):592. [36] Khan SA, Alenezi M, Agrawal A, Kumar R, Khan RA. Evaluating performance of software durability through an integrated fuzzy-based symmetrical method of ANP and TOPSIS. Symmetry 2020;12(4):493. [37] Lee DH, Chang IH, Pham H. Software reliability model with dependent failures and SPRT. Mathematics 2020;8(8):1366. [38] Plebankiewicz E, Meszek W, Zima K, Wieczorek D. Probabilistic and fuzzy approaches for estimating the life cycle costs of buildings under conditions of exposure to risk. Sustainability 2019;12(1):226. [39] Sahu K, Alzahrani FA, Srivastava RK, Kumar R. Hesitant fuzzy sets based symmetrical model of decision-making for estimating the durability of Web application. Symmetry 2020;12(11):1770. [40] Sjøberg DI, Anda B, Mockus A. Questioning software maintenance metrics: a comparative case study. In: Proceedings of the 2012 ACM-IEEE International Symposium on Empirical Software Engineering and Measurement. IEEE; 2012, September. p. 107–10. [41] Arora M, Sharma A, Katoch S, Malviya M, Chopra S. A state of the art regressor model’s comparison for effort estimation of agile software. In: 2021 2nd International Conference on Intelligent Engineering and Management (ICIEM). IEEE; 2021, April. p. 211–5. [42] Butt SA, Khalid A, Ercan T, Ariza-Colpas PP, Melisa AC, Pineres-Espitia ˜ G, Ortega RM. A software-based cost estimation technique in scrum using a developer’s expertise. Adv Eng Softw 2022;171:103159. [43] Blinowski G, Ojdowska A, Przybyłek A. Monolithic vs. microservice architecture: a performance and scalability evaluation. IEEE Access 2022;10:20357–74. [44] Butt SA, Misra S, Luis DMJ, Emiro DLHF. Efficient approaches to agile cost estimation in software industries: a project-based case study. In: International Conference on Information and Communication Technology and Applications. Cham: Springer; 2020, November. p. 645–59. |
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/embargoedAccesshttp://purl.org/coar/access_right/c_f1cfAziz Butt, ShariqErcan, TuncayBinsawad, MuhammadPaola Patricia, Ariza-ColpasDiaz-Martínez, JorgePiñeres Espitia, Gabriel DarioDe-La-Hoz-Franco, EmiroPiñeres Melo, Marlon AlbertoMorales Ortega, RobertoDe la Hoz Hernández, Juan David2023-02-10T20:18:23Z2025-01-012023-02-10T20:18:23Z2023-01-01Shariq Aziz Butt, Tuncay Ercan, Muhammad Binsawad, Paola-Patricia Ariza-Colpas, Jorge Diaz-Martinez, Gabriel Piñeres-Espitia, Emiro De-La-Hoz-Franco, Marlon Alberto Pineres Melo, Roberto Morales Ortega, Juan-David De-La-Hoz-Hernández, Prediction based cost estimation technique in agile development, Advances in Engineering Software, Volume 175, 2023, 103329, ISSN 0965-9978, https://doi.org/10.1016/j.advengsoft.2022.1033290965-9978https://hdl.handle.net/11323/989910.1016/j.advengsoft.2022.1033291873-5339Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Agile has been invented to improve and overcome the deficiencies of efficient software development. At present, the agile model is used in software development vastly due to its support to both developers and clients resourcefully. Agile methodology increases the interaction between the developer and client to make the software product defect-free. The agile model is getting to be a well-known life cycle model because of its particular features and most owing is to allow changes at any level of the project from the product owner. However, on other hand, this novel feature is a disadvantage of the agile model due to frequent change requests from the client has increased the cost and time. To overcome cost and time estimation issues different cost estimation techniques are being used in agile development but no one is pertinent for accurate estimation. Therefore, this study has proposed a cost estimation technique. The proposed estimation technique is predictions-based and has different categorizations of projects based on user stories complexities and the developer's expertise. We have applied the suggested technique to ongoing projects to find the results and effectiveness. We have used two projects with different sizes and user stories. Both projects have different modules and developers with different expertise. We have used the proposed estimation technique on projects and done a survey session with the teams. This survey session's main objective is to reveal the statistical findings of the proposed solution. We have designed the 12 hypotheses for statistical analysis.12 páginasapplication/pdfengElsevier Ltd.United Kingdomhttps://www.sciencedirect.com/science/article/pii/S0965997822002307?via%3DihubPrediction based cost estimation technique in agile developmentArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Advances in Engineering Software[1] Kuhrmann M, Tell P, Hebig R, Klunder JAC, Munch J, Linssen O, Richardson I. What makes agile software development agile. IEEE Trans Software Eng 2021.[2] Khalid A, Butt SA, Jamal T, Gochhait S. Agile scrum issues at large-scale distributed projects: scrum project development at large. Int J Softw Innov (IJSI) 2020;8(2): 85–94.[3] Kaim R, H¨ arting RC, Reichstein C. Benefits of agile project management in an environment of increasing complexity—a transaction cost analysis. Intelligent decision technologies 2019. Singapore: Springer; 2019. p. 195–204.[4] Khmelevsky Y, Li X, Madnick S. Software development using agile and scrum in distributed teams. In: 2017 Annual IEEE International Systems Conference (SysCon). IEEE; 2017, April. p. 1–4.[5] Rodríguez P, Haghighatkhah A, Lwakatare LE, Teppola S, Suomalainen T, Eskeli J, Oivo M. Continuous deployment of software intensive products and services: a systematic mapping study. J Syst Softw 2017;123:263–91.[6] Rasheed A, Zafar B, Shehryar T, Aslam NA, Sajid M, Ali N, Khalid S. Requirement engineering challenges in agile software development. Math Probl Eng 2021:2021.[7] Ramessur MA, Nagowah SD. A predictive model to estimate effort in a sprint using machine learning techniques. Int J Inform Technol 2021;13(3):1101–10.[8] Obilor NA, Chibuike AAOAB, Donatus NO. Constructive cost model II metrics for estimating cost of indigenous software. Int J Adv Eng Res Sci 2021;8:7.[9] Butt SA, Jamal T. Frequent change request from user to handle cost on project in agile model. Proc Asia Pacific J Multidiscipl Res 2017;5(2):26–42.[10] Chirra SMR, Reza H. A survey on software cost estimation techniques. J Softw Eng Applic 2019;12(06):226.[11] Shah J, Kama N. Extending function point analysis effort estimation method for software development phase. In: Proceedings of the 2018 7th International Conference on Software and Computer Applications; 2018, February. p. 77–81.[12] Venkatesh V, Thong JY, Chan FK, Hoehle H, Spohrer K. How agile software development methods reduce work exhaustion: Insights on role perceptions and organizational skills. Inform Syst J 2020;30(4):733–61.[13] Kaur I, Narula GS, Wason R, Jain V, Baliyan A. Neuro fuzzy—COCOMO II model for software cost estimation. Int J Inform Technol 2018;10(2):181–7.[14] Jørgensen M. Top-down and bottom-up expert estimation of software development effort. Inform Softw Technol 2004;46(1):3–16.[15] Jorgensen M. Relationships between project size, agile practices, and successful software development: results and analysis. IEEE Softw 2019;36(2):39–43.[16] Rankovic N, Rankovic D, Ivanovic M, Lazic L. A new approach to software effort estimation using different artificial neural network architectures and Taguchi orthogonal arrays. IEEE Access 2021;9:26926–36.[17] Villalobos-Arias L, Quesada-Lopez ´ C, Guevara-Coto J, Martínez A, Jenkins M. Evaluating hyper-parameter tuning using random search in support vector machines for software effort estimation. In: Proceedings of the 16th ACM International Conference on Predictive Models and Data Analytics in Software Engineering; 2020, November. p. 31–40.[18] Rygge H, Jøsang A. Threat poker: Solving security and privacy threats in agile software development. In: Nordic Conference on Secure IT Systems. Cham: Springer; 2018, November. p. 468–83.[19] Nhung HLTK, Hoc HT, Hai VV. A review of use case-based development effort estimation methods in the system development context. In: Proceedings of the Computational Methods in Systems and Software; 2019. p. 484–99.[20] Shekhar S, Kumar U. Review of various software cost estimation techniques. Int J Comput Applic 2016;141(11):31–4.[21] Dalal S, Dahiya N, Jaglan V. Efficient tuning of COCOMO model cost drivers through generalized reduced gradient (GRG) nonlinear optimization with best-fit analysis. Progress in Advanced Computing and Intelligent Engineering. Singapore: Springer; 2018. p. 347–54.[22] Kumar KH, Srinivas K. Preliminary performance study of a brief review on machine learning techniques for analogy based software effort estimation. J Amb Intell Human Comput 2021:1–25.[23] Aizaz F, Janjua UI, Zafar H, Khan JA, Kazim I. An empirical investigation on software cost estimation techniques and barriers on agile software development in software industry of Pakistan. In: 2021 International Conference on Frontiers of Information Technology (FIT). IEEE; 2021, December. p. 194–9.[24] S´ anchez R, Pinto-Roa DP. A new approach to software effort estimation using linear genetic programming. Proceed Ser Braz Soc Comput Appl Math 2018;6(1).[25] Sakhrawi Z, Sellami A, Bouassida N. Support vector regression for enhancement effort prediction of Scrum projects from COSMIC functional size. Innov Syst Softw Eng 2022;18(1):137–53.[26] Kaushik A, Tayal DK, Yadav K. The role of neural networks and metaheuristics in agile software development effort estimation. Research Anthology on Artificial Neural Network Applications. IGI Global; 2022. p. 306–28.[27] Boehm BW. Software cost estimation meets software diversity. In: Software Engineering Companion (ICSE-C), 2017 IEEE/ACM 39th International Conference on. IEEE; 2017, May. p. 495–6.[28] Przybylek A, Zakrzewski M. Adopting collaborative games into agile requirements engineering. In: 13th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE’18); 2018. https://doi.org/10.5220/0006681900540064.[29] Zhang Z. The benefits and challenges of planning poker in software development: comparison between theory and practice (doctoral dissertation. Auckland University of Technology; 2017.[30] Przybylek A, Albecka M, Springer O, Kowalski W. Game-based Sprint retrospectives: multiple action research. Empir Softw Eng 2022;27. https://doi.org/10.1007/s10664-021-10043-z.[31] Khuat TT, Le MH. A novel hybrid abc-pso algorithm for effort estimation of software projects using agile methodologies. J Intell Syst 2018;27(3):489–506.[32] Menzies T, Yang Y, Mathew G, Boehm B, Hihn J. Negative results for software effort estimation. Empir Softw Eng 2017;22(5):2658–83.[33] Hamid M, Zeshan F, Ahmad A, Ahmad F, Hamza MA, Khan ZA, Aljuaid H. An intelligent recommender and decision support system (IRDSS) for effective management of software projects. 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based cost estimation technique in agile development.pdf.jpgGenerated Thumbnailimage/jpeg14559https://repositorio.cuc.edu.co/bitstreams/9fa286f6-34e6-4374-9e09-7b8c7af720f2/download59261fc3de7e5241f1f865cfcb9187e9MD5411323/9899oai:repositorio.cuc.edu.co:11323/98992024-09-17 14:13:02.541https://creativecommons.org/licenses/by-nc-nd/4.0/open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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ada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
 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