Predictive variables for agile development merging cloud computing services

Cloud Technology is a most challenging modern area in the field of modern technologies in whichassets(e.g.,CPUandcapacity)canberentedanddischargedbytheclientsthroughinterneton-demand basis. The cloud computing has been giving virtual computing services to a little, medium and extensive industries, an...

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Autores:
Aziz Butt, Shariq
Tariq, Muhammad Imran
Jamal, Tauseef
Ali, Arshad
Martínez-Díaz, Jorge
De-La-Hoz-Franco, Emiro
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/5658
Acceso en línea:
https://hdl.handle.net/11323/5658
https://repositorio.cuc.edu.co/
Palabra clave:
Agile-cloud computing
Industries adoption
Challenges and future directions
Rights
openAccess
License
CC0 1.0 Universal
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repository_id_str
dc.title.spa.fl_str_mv Predictive variables for agile development merging cloud computing services
title Predictive variables for agile development merging cloud computing services
spellingShingle Predictive variables for agile development merging cloud computing services
Agile-cloud computing
Industries adoption
Challenges and future directions
title_short Predictive variables for agile development merging cloud computing services
title_full Predictive variables for agile development merging cloud computing services
title_fullStr Predictive variables for agile development merging cloud computing services
title_full_unstemmed Predictive variables for agile development merging cloud computing services
title_sort Predictive variables for agile development merging cloud computing services
dc.creator.fl_str_mv Aziz Butt, Shariq
Tariq, Muhammad Imran
Jamal, Tauseef
Ali, Arshad
Martínez-Díaz, Jorge
De-La-Hoz-Franco, Emiro
dc.contributor.author.spa.fl_str_mv Aziz Butt, Shariq
Tariq, Muhammad Imran
Jamal, Tauseef
Ali, Arshad
Martínez-Díaz, Jorge
De-La-Hoz-Franco, Emiro
dc.subject.spa.fl_str_mv Agile-cloud computing
Industries adoption
Challenges and future directions
topic Agile-cloud computing
Industries adoption
Challenges and future directions
description Cloud Technology is a most challenging modern area in the field of modern technologies in whichassets(e.g.,CPUandcapacity)canberentedanddischargedbytheclientsthroughinterneton-demand basis. The cloud computing has been giving virtual computing services to a little, medium and extensive industries, and services, for example, infrastructure as a service (IaaS), platform as a service (PaaS), and softwareasaservice(SaaS).Cloudcomputinghasagreatcombinationwiththeagilesoftwaredevelopment as a research area. Many researchers worked in Agile Cloud field. The software industries are using the agile methodology for efficient software development need some platform to get quick feedback from the client. Therefore, the agile-cloud is a great combination for it but due to security reasons that directly influence the less adoption of cloud in software industries. This paper reports the survey results of software industries. The total of seven IT industries and many professionals was involved in this paper. However, this paper also contributes and reveals how existing issues can affect agile-cloud adoption for efficient software development. Furthermore, we do not find any type of survey conducted in Pakistan’s software industries-related to cloud-agile adoption.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2019-11-14T22:52:20Z
dc.date.available.none.fl_str_mv 2019-11-14T22:52:20Z
dc.date.issued.none.fl_str_mv 2019-08-07
dc.type.spa.fl_str_mv Artículo de revista
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dc.relation.references.spa.fl_str_mv [1] H. M. Sabi, F.-M. E. Uzoka, K. Langmia, and F. N. Njeh, ‘‘Conceptualizing a model for adoption of cloud computing in education,’’ Int. J. Inf. Manage., vol. 36, no. 2, pp. 183–191, Apr. 2016. [2] T. Ercan, ‘‘Effective use of cloud computing in educational institutions,’’ Procedia-Social Behav. Sci., vol. 2, no. 2, pp. 938–942, Jan. 2010. [3] L. G. Tornatzky, and M. Fleischer, Processes of Technological Innovation. Lexington, MA, USA: Lexington Books, 1990. [4] A.Albugmi,R.Walters,andG.Wills,‘‘Aframeworkforcloudcomputing adoption by Saudi government overseas agencies,’’ in Proc. 5th Int. Conf. Future Gener. Commun. Technol. (FGCT), Aug. 2016, pp. 1–5. [5] S. Mingxing, P. Long, and F. Yanan, ‘‘Empirical study on alignment of cloudcomputinginenterprises,’’inProc.Int.Conf.Cyber-EnabledDistrib. Comput. Knowl. Discovery, Sep. 2015, pp. 268–272. [6] A. D. Josep, R. Katz, A. Konwinski, L. E. Gunho, D. Patterson, and A. Rabkin, ‘‘A view of cloud computing,’’ Commun. ACM, vol. 53, no. 4, p. 50, Apr. 2010. [7] Q.-M. Xia, B.-Q. Cao, and B. Li, A Service-Oriented QoS-Assured and Multi-Agent Cloud Computing Architecture. Berlin, Germany: Springer, 2009, pp. 644–649. [8] A. D. Veiga and J. H. P. Eloff, ‘‘An information security governance framework,’’ Inf. Syst. Manage., vol. 24, no. 4 pp. 361–372, Oct. 2007. [9] Cloud Security Alliance. (2009). Security Guidance for Critical Areas of Focus in Cloud Computing. [Online]. Available: https:// cloudsecurityalliance.org/csaguide [10] S. K. Sood, ‘‘A combined approach to ensure data security in cloud computing,’’J.Netw.Comput.Appl.,vol.35,no.6,pp.1831–1838,Nov.2012. [11] F. Liu, J. Tong, J. Mao, and Robert, ‘‘NIST cloud computing reference architecture,’’ Nat. Inst. Standards Technol., Gaithersburg, MD, USA, Sep. 2011. [12] K. E. Voelkl and S. B. Gerber, ‘‘Regression analysis,’’ in Using SPSS for Windows. Springer, 1999, pp. 171–194. [13] B. Lawal, ‘‘Regression analysis,’’ in Applied Statistical Methods in Agriculture, Health and Life Sciences. Springer, 2014, pp. 217–306. [14] G. Raj, K. Yadav, and A. Jaiswal, ‘‘Emphasis on testing assimilation usingcloudcomputingforimprovisedagileSCRUMframework,’’inProc. Int. Conf. Futuristic Trends Comput. Anal. Knowl. Manage. (ABLAZE), Feb. 2015, pp. 219–225. [15] B. Ratner. The Correlation Coefficient: Definition. Accessed:Nov.2,2016.[Online].Available:http://www.dmstat1.com/res/ thecorrelationcoefficientdefined.html [16] J. Neter, W. Wasserman, and M. H. Kutner, Applied Linear Regression Models. New York, NY, USA: McGraw-Hill, 2004. [17] E. Adriano and D. Lucrédio, ‘‘Software engineering for the cloud: A research roadmap,’’ in Proc. 26th Brazilian Symp. Softw. Eng., Sep. 2012, pp. 71–80. [18] S.Dhar,‘‘Fromoutsourcingtocloudcomputing:EvolutionofITservices,’’ Manage. Res. Rev., vol. 35, no. 8, pp. 664–675, Jul. 2012. [19] N. Alkhater, R. Walters, and G. Wills, ‘‘An empirical study of factors influencing cloud adoption among private sector organisations,’’ Telematics Inform., vol. 35, no. 1, pp. 38–54, Apr. 2018. [20] S. Venkatraman and B. Wadhwa, ‘‘Cloud computing a research roadmap incoalescencewithsoftwareengineering,’’Softw.Eng.,Int.J.vol.2,no.2, p. 2, Sep. 2012. [21] S. A. Butt, ‘‘Study of agile methodology with the cloud,’’ Pacific Sci. Rev. B, Humanities Social Sci., vol. 2, no. 1, pp. 22–28, Jan. 2016. [22] A. Lin and N.-C. Chen, ‘‘Cloud computing as an innovation: Percepetion, attitude, and adoption,’’ Int. J. Inf. Manage., vol. 32, no. 6, pp. 533–540, Dec. 2012. [23] A. Gutierrez, E. Boukrami, and R. Lumsden, ‘‘Technological, organisational and environmental factors influencing managers’ decision to adopt cloud computing in the UK,’’ J. Enterprise Inf. Manage., vol. 28, no. 6, pp. 788–807, Oct. 2015. [24] J. F. Hair, C. M. Ringle, and M. Sarstedt, ‘‘PLS-SEM: Indeed a silver bullet,’’ J. Marketing theory Pract., vol. 19, no. 2, pp. 139–152, 2011. [25] Institute for Digital Research and Education. Annotated SPSS Output Regression Analysis. Accessed: Nov. 2, 2016. [Online]. Available: http://www.ats.ucla.edu/stat/spss/output/reg_spss_long.htm [26] B. Ratner, ‘‘The correlation coefficient: Definition,’’ DM Stat-1 Articles, vol. 11a, 2007. [27] B. Lawal, Applied Statistical Methods in Agriculture, Health and Life Sciences. Springer, 2014. [28] M. H. Kutner, C. Nachtsheim, and J. Neter, Applied Linear Regression Models. New York, NY, USA: McGraw-Hill, 2004. [29]M. I. Tariq, S. Tayyaba, H. Rasheed, and M. W. Ashraf, ‘‘Factors influencing the cloud computing adoption in higher education institutions of Punjab, Pakistan,’’ in Proc. Int. Conf. Commun., Comput. Digit. Syst. (C-CODE), Mar. 2017, pp. 179–184. [30] T. Oliveira, M. Thomas, and M. Espadanal, ‘‘Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors,’’ Inf. Manage., vol. 51, no. 5, pp. 497–510, Jul. 2014. [31] S.A.ButtandT.Jamal,‘‘Frequentchangerequestfromusertohandlecost on project in agile model,’’ Asia–Pacific J. Multidisciplinary Res., vol. 5, no. 2, pp. 26–42, 2017.
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spelling Aziz Butt, ShariqTariq, Muhammad ImranJamal, TauseefAli, ArshadMartínez-Díaz, JorgeDe-La-Hoz-Franco, Emiro2019-11-14T22:52:20Z2019-11-14T22:52:20Z2019-08-072169-3536https://hdl.handle.net/11323/5658Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/Cloud Technology is a most challenging modern area in the field of modern technologies in whichassets(e.g.,CPUandcapacity)canberentedanddischargedbytheclientsthroughinterneton-demand basis. The cloud computing has been giving virtual computing services to a little, medium and extensive industries, and services, for example, infrastructure as a service (IaaS), platform as a service (PaaS), and softwareasaservice(SaaS).Cloudcomputinghasagreatcombinationwiththeagilesoftwaredevelopment as a research area. Many researchers worked in Agile Cloud field. The software industries are using the agile methodology for efficient software development need some platform to get quick feedback from the client. Therefore, the agile-cloud is a great combination for it but due to security reasons that directly influence the less adoption of cloud in software industries. This paper reports the survey results of software industries. The total of seven IT industries and many professionals was involved in this paper. However, this paper also contributes and reveals how existing issues can affect agile-cloud adoption for efficient software development. Furthermore, we do not find any type of survey conducted in Pakistan’s software industries-related to cloud-agile adoption.Aziz Butt, ShariqTariq, Muhammad Imran-will be generated-orcid-0000-0003-2787-8334-600Jamal, TauseefAli, ArshadMartínez-Díaz, Jorge-will be generated-orcid-0000-0002-7161-0389-600De-La-Hoz-Franco, Emiro-will be generated-orcid-0000-0002-4926-7414-600engIEEE Access10.1109/ACCESS.2019.2929169[1] H. M. Sabi, F.-M. E. Uzoka, K. Langmia, and F. N. Njeh, ‘‘Conceptualizing a model for adoption of cloud computing in education,’’ Int. J. Inf. Manage., vol. 36, no. 2, pp. 183–191, Apr. 2016. [2] T. Ercan, ‘‘Effective use of cloud computing in educational institutions,’’ Procedia-Social Behav. Sci., vol. 2, no. 2, pp. 938–942, Jan. 2010. [3] L. G. Tornatzky, and M. Fleischer, Processes of Technological Innovation. Lexington, MA, USA: Lexington Books, 1990. [4] A.Albugmi,R.Walters,andG.Wills,‘‘Aframeworkforcloudcomputing adoption by Saudi government overseas agencies,’’ in Proc. 5th Int. Conf. Future Gener. Commun. Technol. (FGCT), Aug. 2016, pp. 1–5. [5] S. Mingxing, P. Long, and F. Yanan, ‘‘Empirical study on alignment of cloudcomputinginenterprises,’’inProc.Int.Conf.Cyber-EnabledDistrib. Comput. Knowl. Discovery, Sep. 2015, pp. 268–272. [6] A. D. Josep, R. Katz, A. Konwinski, L. E. Gunho, D. Patterson, and A. Rabkin, ‘‘A view of cloud computing,’’ Commun. ACM, vol. 53, no. 4, p. 50, Apr. 2010. [7] Q.-M. Xia, B.-Q. Cao, and B. Li, A Service-Oriented QoS-Assured and Multi-Agent Cloud Computing Architecture. Berlin, Germany: Springer, 2009, pp. 644–649. [8] A. D. Veiga and J. H. P. Eloff, ‘‘An information security governance framework,’’ Inf. Syst. Manage., vol. 24, no. 4 pp. 361–372, Oct. 2007. [9] Cloud Security Alliance. (2009). Security Guidance for Critical Areas of Focus in Cloud Computing. [Online]. Available: https:// cloudsecurityalliance.org/csaguide [10] S. K. Sood, ‘‘A combined approach to ensure data security in cloud computing,’’J.Netw.Comput.Appl.,vol.35,no.6,pp.1831–1838,Nov.2012. [11] F. Liu, J. Tong, J. Mao, and Robert, ‘‘NIST cloud computing reference architecture,’’ Nat. Inst. Standards Technol., Gaithersburg, MD, USA, Sep. 2011. [12] K. E. Voelkl and S. B. Gerber, ‘‘Regression analysis,’’ in Using SPSS for Windows. Springer, 1999, pp. 171–194. [13] B. Lawal, ‘‘Regression analysis,’’ in Applied Statistical Methods in Agriculture, Health and Life Sciences. Springer, 2014, pp. 217–306. [14] G. Raj, K. Yadav, and A. Jaiswal, ‘‘Emphasis on testing assimilation usingcloudcomputingforimprovisedagileSCRUMframework,’’inProc. Int. Conf. Futuristic Trends Comput. Anal. Knowl. Manage. (ABLAZE), Feb. 2015, pp. 219–225. [15] B. Ratner. The Correlation Coefficient: Definition. Accessed:Nov.2,2016.[Online].Available:http://www.dmstat1.com/res/ thecorrelationcoefficientdefined.html [16] J. Neter, W. Wasserman, and M. H. Kutner, Applied Linear Regression Models. New York, NY, USA: McGraw-Hill, 2004. [17] E. Adriano and D. Lucrédio, ‘‘Software engineering for the cloud: A research roadmap,’’ in Proc. 26th Brazilian Symp. Softw. Eng., Sep. 2012, pp. 71–80. [18] S.Dhar,‘‘Fromoutsourcingtocloudcomputing:EvolutionofITservices,’’ Manage. Res. Rev., vol. 35, no. 8, pp. 664–675, Jul. 2012. [19] N. Alkhater, R. Walters, and G. Wills, ‘‘An empirical study of factors influencing cloud adoption among private sector organisations,’’ Telematics Inform., vol. 35, no. 1, pp. 38–54, Apr. 2018. [20] S. Venkatraman and B. Wadhwa, ‘‘Cloud computing a research roadmap incoalescencewithsoftwareengineering,’’Softw.Eng.,Int.J.vol.2,no.2, p. 2, Sep. 2012. [21] S. A. Butt, ‘‘Study of agile methodology with the cloud,’’ Pacific Sci. Rev. B, Humanities Social Sci., vol. 2, no. 1, pp. 22–28, Jan. 2016. [22] A. Lin and N.-C. Chen, ‘‘Cloud computing as an innovation: Percepetion, attitude, and adoption,’’ Int. J. Inf. Manage., vol. 32, no. 6, pp. 533–540, Dec. 2012. [23] A. Gutierrez, E. Boukrami, and R. Lumsden, ‘‘Technological, organisational and environmental factors influencing managers’ decision to adopt cloud computing in the UK,’’ J. Enterprise Inf. Manage., vol. 28, no. 6, pp. 788–807, Oct. 2015. [24] J. F. Hair, C. M. Ringle, and M. Sarstedt, ‘‘PLS-SEM: Indeed a silver bullet,’’ J. Marketing theory Pract., vol. 19, no. 2, pp. 139–152, 2011. [25] Institute for Digital Research and Education. Annotated SPSS Output Regression Analysis. Accessed: Nov. 2, 2016. [Online]. Available: http://www.ats.ucla.edu/stat/spss/output/reg_spss_long.htm [26] B. Ratner, ‘‘The correlation coefficient: Definition,’’ DM Stat-1 Articles, vol. 11a, 2007. [27] B. Lawal, Applied Statistical Methods in Agriculture, Health and Life Sciences. Springer, 2014. [28] M. H. Kutner, C. Nachtsheim, and J. Neter, Applied Linear Regression Models. New York, NY, USA: McGraw-Hill, 2004. [29]M. I. Tariq, S. Tayyaba, H. Rasheed, and M. W. Ashraf, ‘‘Factors influencing the cloud computing adoption in higher education institutions of Punjab, Pakistan,’’ in Proc. Int. Conf. Commun., Comput. Digit. Syst. (C-CODE), Mar. 2017, pp. 179–184. [30] T. Oliveira, M. Thomas, and M. Espadanal, ‘‘Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors,’’ Inf. Manage., vol. 51, no. 5, pp. 497–510, Jul. 2014. [31] S.A.ButtandT.Jamal,‘‘Frequentchangerequestfromusertohandlecost on project in agile model,’’ Asia–Pacific J. 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