Structural evolution analytics of public rest APIS

The use of technology has had an exponential growth curve that has driven different services to be offered through the Internet to solve the needs of multiple customers. Among the different existing services offered through the World Wide Web, there are APIs (Application Programming Interfaces) that...

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Autores:
Potes García, Nicolás
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2022
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/58824
Acceso en línea:
http://hdl.handle.net/1992/58824
Palabra clave:
API
REST
API evolution
Software evolution
API analysis
Ingeniería
Rights
openAccess
License
Attribution-NoDerivatives 4.0 Internacional
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network_name_str Séneca: repositorio Uniandes
repository_id_str
dc.title.none.fl_str_mv Structural evolution analytics of public rest APIS
title Structural evolution analytics of public rest APIS
spellingShingle Structural evolution analytics of public rest APIS
API
REST
API evolution
Software evolution
API analysis
Ingeniería
title_short Structural evolution analytics of public rest APIS
title_full Structural evolution analytics of public rest APIS
title_fullStr Structural evolution analytics of public rest APIS
title_full_unstemmed Structural evolution analytics of public rest APIS
title_sort Structural evolution analytics of public rest APIS
dc.creator.fl_str_mv Potes García, Nicolás
dc.contributor.advisor.none.fl_str_mv Garcés Pernett, Kelly Johany
dc.contributor.author.none.fl_str_mv Potes García, Nicolás
dc.subject.keyword.none.fl_str_mv API
REST
API evolution
Software evolution
API analysis
topic API
REST
API evolution
Software evolution
API analysis
Ingeniería
dc.subject.themes.es_CO.fl_str_mv Ingeniería
description The use of technology has had an exponential growth curve that has driven different services to be offered through the Internet to solve the needs of multiple customers. Among the different existing services offered through the World Wide Web, there are APIs (Application Programming Interfaces) that allow consumers to access information of a certain nature, functions predefined by providers that are useful for a certain audience, among other functionalities that are consumed by a client¿s software. APIs can be classified as libraries or as remote APIs considering the place where they are hosted. Library APIs run in the same environment as the client software, while remote APIs are hosted in a different environment and are accessed by the client application through remote access protocols. This paper focuses on REST Web APIs (remote APIs) which are the most common type of Web APIs. This is because they are very easy to understand and integrate with client code. It is worth mentioning that REST is a software architectural style that guides the design and development of the architecture of a software or related for the Internet. Therefore, a REST API is an architecture for an API that uses HTTP-like requests to access data and perform interactions.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-07-14T13:15:30Z
dc.date.available.none.fl_str_mv 2022-07-14T13:15:30Z
dc.date.issued.none.fl_str_mv 2022-07-13
dc.type.es_CO.fl_str_mv Trabajo de grado - Pregrado
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dc.relation.references.es_CO.fl_str_mv Fabio Di Lauro, Souhaila Serbout, and Cesare Pautasso. "Towards Large-Scale Empirical Assessment of Web APIs Evolution". In: Web Engineering. Ed. by Marco Brambilla et al. Cham: Springer International Publishing, 2021, pp. 124¿138. isbn: 978-3-030-74296-6.
D. Dig and R. Johnson. "How do APIs evolve? A story of refactoring". In: J. Softw. Maint. Evol. 18 (2006).
Hamza Ed-douibi. "SOM RESEARCH LAB, 'APIComposer" . In: (2019). url: https://modeling-languages.com/rest-api-composer/.
Tiago Espinha, Andy Zaidman, and Hans-Gerhard Gross. "Web API growing pains: Stories from client developers and their code". In: 2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE). 2014, pp. 84¿ 93. doi: 10.1109/CSMR-WCRE.2014.6747228.
Samuel Huppe, Mohamed Aymen Saied, and Houari Sahraoui. "Mining Complex Temporal API Usage Patterns: An Evolutionary Approach". In: 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C). 2017, pp. 274-276. doi: 10.1109/ICSE C.2017.147.
Rediana Ko¸ci et al. "A Data-Driven Approach to Measure the Usability of Web APIs". In: 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). 2020, pp. 64¿71. doi: 10.1109/SEAA51224.2020.00021.
Rediana Ko¸ci et al. "Improving Web API Usage Logging". In: Research Challenges in Information Science. Ed. by Samira Cherfi, Anna Perini, and Selmin Nurcan. Cham: Springer International Publishing, 2021, pp. 623¿629. isbn: 978-3-030-75018-3.
Rediana Ko¸ci et al. "PatternLens: Inferring evolutive patterns from web API usage logs". In: Intelligent Information Systems. Ed. by Selmin Nurcan and Axel Korthaus. Cham: Springer International Publishing, 2021, pp. 146¿153. isbn: 978-3-030-79108-7.
Maxime Lamothe. "Bridging the Divide Between API Users and API Developers by Mining Public Code Repositories". In: 2020 IEEE/ACM 42nd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). 2020, pp. 178-181.
Maxime Lamothe, Yann-Ga¨el Gu´eh´eneuc, and Weiyi Shang. "A Sy". In: ACM Comput. Surv. 54.8 (Oct. 2021). issn: 0360-0300. doi: 10.1145/3470133. url: https: //doi.org/10.1145/3470133.
Jun Li et al. ¿How Does Web Service API Evolution Affect Clients? In: 2013 IEEE 20th International Conference on Web Services. 2013, pp. 300¿307. doi: 10.1109/ICWS.2013.48.
M. Pol´ak and I. Holubov´a. "REST API management and evolution using MDA". In: Int. Conf. Proceeding Series 13 (2015), pp. 102-109.
N. Robles Vargas. "Rest API changes analysis and impact on client applications". In: (2020). url: https : / / repositorio . uniandes .edu.co/handle/1992/48489.
A.A. Sawant, R. Robbes, and A Bacchelli. "To react, or not to react: Patterns of reaction to API deprecation". In: Empiric Software Engineering 24 (2019), pp. 3824-3870.
Anand Ashok Sawant and Alberto Bacchelli. "A Dataset for API Usage". In: 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories. 2015, pp. 506-509. doi: 10.1109/MSR.2015.75.
Chengpeng Wang et al. "Statistical API Completion Based on Code Relevance Mining". In: 2019 IEEE Workshop on Mining and Analyzing Interaction Histories (MAINT). 2019, pp. 7-13. doi: 10.1109/MAINT. 2019.8666939.
W. Wu et al. "ACUA: API Change and Usage Auditor". In: Int. Conf. on Source Code Analysis and Manipulation. 2014, pp. 89-94.
W. Wu et al. "An exploratory study of api changes and usages based on apache and eclipse ecosystems". In: Emp. Softw. Eng. 21 (2016), pp. 2366-2412.
L. Xavier et al. "Historical and impact analysis of API breaking changes: A large-scale study". In: Int. Conf. on Software Analysis, Evolution and Reengineering (2017), pp. 138-147.
Jerin Yasmin, Yuan Tian, and Jinqiu Yang. "A First Look at the Deprecation of RESTful APIs: An Empirical Study". In: 2020 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME 2020). Proceedings-IEEE International Conference on Software Maintenance. 36th IEEE International Conference on Software Maintenance and Evolution (ICSME), ELECTR NETWORK, SEP 27-OCT 03, 2020. IEEE; IEEE Comp Soc. 2020, pp. 151-161. isbn: 978-1-7281-5619-4. doi: 10.1109/ICSME46990.2020.00024.
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dc.publisher.es_CO.fl_str_mv Universidad de los Andes
dc.publisher.program.es_CO.fl_str_mv Ingeniería de Sistemas y Computación
dc.publisher.faculty.es_CO.fl_str_mv Facultad de Ingeniería
dc.publisher.department.es_CO.fl_str_mv Departamento de Ingeniería Sistemas y Computación
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spelling Attribution-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Garcés Pernett, Kelly Johanyd8935357-a89a-4c1d-a3c2-c0fa94c2b8a8600Potes García, Nicolás60c7e42d-302e-4abe-ba11-af0b4aa163766002022-07-14T13:15:30Z2022-07-14T13:15:30Z2022-07-13http://hdl.handle.net/1992/58824instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/The use of technology has had an exponential growth curve that has driven different services to be offered through the Internet to solve the needs of multiple customers. Among the different existing services offered through the World Wide Web, there are APIs (Application Programming Interfaces) that allow consumers to access information of a certain nature, functions predefined by providers that are useful for a certain audience, among other functionalities that are consumed by a client¿s software. APIs can be classified as libraries or as remote APIs considering the place where they are hosted. Library APIs run in the same environment as the client software, while remote APIs are hosted in a different environment and are accessed by the client application through remote access protocols. This paper focuses on REST Web APIs (remote APIs) which are the most common type of Web APIs. This is because they are very easy to understand and integrate with client code. It is worth mentioning that REST is a software architectural style that guides the design and development of the architecture of a software or related for the Internet. Therefore, a REST API is an architecture for an API that uses HTTP-like requests to access data and perform interactions.Ingeniero de Sistemas y ComputaciónPregradoAPI evolution33 páginasapplication/pdfengUniversidad de los AndesIngeniería de Sistemas y ComputaciónFacultad de IngenieríaDepartamento de Ingeniería Sistemas y ComputaciónStructural evolution analytics of public rest APISTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1fTexthttp://purl.org/redcol/resource_type/TPAPIRESTAPI evolutionSoftware evolutionAPI analysisIngenieríaFabio Di Lauro, Souhaila Serbout, and Cesare Pautasso. "Towards Large-Scale Empirical Assessment of Web APIs Evolution". In: Web Engineering. Ed. by Marco Brambilla et al. Cham: Springer International Publishing, 2021, pp. 124¿138. isbn: 978-3-030-74296-6.D. Dig and R. Johnson. "How do APIs evolve? A story of refactoring". In: J. Softw. Maint. Evol. 18 (2006).Hamza Ed-douibi. "SOM RESEARCH LAB, 'APIComposer" . In: (2019). url: https://modeling-languages.com/rest-api-composer/.Tiago Espinha, Andy Zaidman, and Hans-Gerhard Gross. "Web API growing pains: Stories from client developers and their code". In: 2014 Software Evolution Week - IEEE Conference on Software Maintenance, Reengineering, and Reverse Engineering (CSMR-WCRE). 2014, pp. 84¿ 93. doi: 10.1109/CSMR-WCRE.2014.6747228.Samuel Huppe, Mohamed Aymen Saied, and Houari Sahraoui. "Mining Complex Temporal API Usage Patterns: An Evolutionary Approach". In: 2017 IEEE/ACM 39th International Conference on Software Engineering Companion (ICSE-C). 2017, pp. 274-276. doi: 10.1109/ICSE C.2017.147.Rediana Ko¸ci et al. "A Data-Driven Approach to Measure the Usability of Web APIs". In: 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). 2020, pp. 64¿71. doi: 10.1109/SEAA51224.2020.00021.Rediana Ko¸ci et al. "Improving Web API Usage Logging". In: Research Challenges in Information Science. Ed. by Samira Cherfi, Anna Perini, and Selmin Nurcan. Cham: Springer International Publishing, 2021, pp. 623¿629. isbn: 978-3-030-75018-3.Rediana Ko¸ci et al. "PatternLens: Inferring evolutive patterns from web API usage logs". In: Intelligent Information Systems. Ed. by Selmin Nurcan and Axel Korthaus. Cham: Springer International Publishing, 2021, pp. 146¿153. isbn: 978-3-030-79108-7.Maxime Lamothe. "Bridging the Divide Between API Users and API Developers by Mining Public Code Repositories". In: 2020 IEEE/ACM 42nd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion). 2020, pp. 178-181.Maxime Lamothe, Yann-Ga¨el Gu´eh´eneuc, and Weiyi Shang. "A Sy". In: ACM Comput. Surv. 54.8 (Oct. 2021). issn: 0360-0300. doi: 10.1145/3470133. url: https: //doi.org/10.1145/3470133.Jun Li et al. ¿How Does Web Service API Evolution Affect Clients? In: 2013 IEEE 20th International Conference on Web Services. 2013, pp. 300¿307. doi: 10.1109/ICWS.2013.48.M. Pol´ak and I. Holubov´a. "REST API management and evolution using MDA". In: Int. Conf. Proceeding Series 13 (2015), pp. 102-109.N. Robles Vargas. "Rest API changes analysis and impact on client applications". In: (2020). url: https : / / repositorio . uniandes .edu.co/handle/1992/48489.A.A. Sawant, R. Robbes, and A Bacchelli. "To react, or not to react: Patterns of reaction to API deprecation". In: Empiric Software Engineering 24 (2019), pp. 3824-3870.Anand Ashok Sawant and Alberto Bacchelli. "A Dataset for API Usage". In: 2015 IEEE/ACM 12th Working Conference on Mining Software Repositories. 2015, pp. 506-509. doi: 10.1109/MSR.2015.75.Chengpeng Wang et al. "Statistical API Completion Based on Code Relevance Mining". In: 2019 IEEE Workshop on Mining and Analyzing Interaction Histories (MAINT). 2019, pp. 7-13. doi: 10.1109/MAINT. 2019.8666939.W. Wu et al. "ACUA: API Change and Usage Auditor". In: Int. Conf. on Source Code Analysis and Manipulation. 2014, pp. 89-94.W. Wu et al. "An exploratory study of api changes and usages based on apache and eclipse ecosystems". In: Emp. Softw. Eng. 21 (2016), pp. 2366-2412.L. Xavier et al. "Historical and impact analysis of API breaking changes: A large-scale study". In: Int. Conf. on Software Analysis, Evolution and Reengineering (2017), pp. 138-147.Jerin Yasmin, Yuan Tian, and Jinqiu Yang. "A First Look at the Deprecation of RESTful APIs: An Empirical Study". In: 2020 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME 2020). Proceedings-IEEE International Conference on Software Maintenance. 36th IEEE International Conference on Software Maintenance and Evolution (ICSME), ELECTR NETWORK, SEP 27-OCT 03, 2020. 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