Analysis System of Agile Software Development Process Metrics and User Satisfaction
Agile software development (ASD) methods which are currently the primary development approach, use various metrics for quality management. However, few existing research studies directly measure improvements in user satisfaction as a result of the ASD process, even though the user is the top priorit...
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| Published in | Journal of Information Processing Vol. 33; pp. 314 - 324 |
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| Format | Journal Article |
| Language | English |
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Information Processing Society of Japan
2025
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| Abstract | Agile software development (ASD) methods which are currently the primary development approach, use various metrics for quality management. However, few existing research studies directly measure improvements in user satisfaction as a result of the ASD process, even though the user is the top priority in ASD. Thus, it is important to identify those ASD processes that affect user satisfaction. To support such analysis, we constructed an information system, AS-ASD, which examines relationships between time-series ASD process metrics calculated on the basis of issues and pull requests in GitHub and user satisfaction calculated on the basis of user reviews. A case study evaluated AS-ASD to open-source software (OSS) development, which follows the same lines of thought and practices as ASD methods. The results revealed a correlation between issues processing time and user satisfaction, but no significant correlation between velocity and user satisfaction. These findings, supported by quantitative analysis of user reviews, suggest that ASD processes that actively detect and address user feedback, as well as those capable of responding swiftly to user concerns can improve user satisfaction. |
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| AbstractList | Agile software development (ASD) methods which are currently the primary development approach, use various metrics for quality management. However, few existing research studies directly measure improvements in user satisfaction as a result of the ASD process, even though the user is the top priority in ASD. Thus, it is important to identify those ASD processes that affect user satisfaction. To support such analysis, we constructed an information system, AS-ASD, which examines relationships between time-series ASD process metrics calculated on the basis of issues and pull requests in GitHub and user satisfaction calculated on the basis of user reviews. A case study evaluated AS-ASD to open-source software (OSS) development, which follows the same lines of thought and practices as ASD methods. The results revealed a correlation between issues processing time and user satisfaction, but no significant correlation between velocity and user satisfaction. These findings, supported by quantitative analysis of user reviews, suggest that ASD processes that actively detect and address user feedback, as well as those capable of responding swiftly to user concerns can improve user satisfaction. |
| Author | Takahashi, Juichi Washizaki, Hironori Ubayashi, Naoyasu Yang, Minshun Uematsu, Ayana Takagi, Yohei |
| Author_xml | – sequence: 1 fullname: Uematsu, Ayana organization: Waseda University – sequence: 1 fullname: Washizaki, Hironori organization: Waseda University – sequence: 1 fullname: Takagi, Yohei organization: AGEST Inc – sequence: 1 fullname: Ubayashi, Naoyasu organization: Waseda University – sequence: 1 fullname: Yang, Minshun organization: Waseda University – sequence: 1 fullname: Takahashi, Juichi organization: AGEST Inc |
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| References | [29] Noei, E., Zhang, F. and Zou, Y.: Too many user-reviews! what should app developers look at first? IEEE Trans. Software Engineering, Vol.47, No.2, pp.367-378 (2021). [7] Beck, K.: Extreme Programming Explained: Embrace Change, An Alan R. Apt Book Series, Addison-Wesley (2000). [22] Ives, B. and Olson, M.H.: User involvement and mis success: A review of research, Management Science, Vol.30, No.5, pp.586-603 (1984). [23] Kitchenham, B.: What's up with software metrics? - A preliminary mapping study, Journal of Systems and Software, Vol.83, No.1, pp.37-51 (2010). [14] Fenton, N. and Bieman, J.: Software Metrics: A Rigorous and Practical Approach, Third Edition, Chapman & Hall/CRC Innovations in Software Engineering and Software Development Series, CRC Press (2014). [4] Bano, M. and Zowghi, D.: User involvement in software development and system success: A systematic literature review, Proc. 17th International Conference on Evaluation and Assessment in Software Engineering, EASE '13, pp.125-130, Association for Computing Machinery (2013). [20] Hutto, C. and Gilbert, E.: Vader: A parsimonious rule-based model for sentiment analysis of social media text, Proc. International AAAI Conference on Web and Social Media, Vol.8, No.1, pp.216-225 (2014). [12] Di Sorbo, A., Panichella, S., Alexandru, C.V., Shimagaki, J., Visaggio, C.A., Canfora, G. and Gall, H.C.: What would users change in my app? summarizing app reviews for recommending software changes, Proc. 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, FSE 2016, pp.499-510, Association for Computing Machinery (2016). [17] Highsmith, J. and Fowler, M.: The agile manifesto, Software Development Magazine, Vol.9, No.8, pp.29-30 (2001). [37] Srisopha, K. and Alfayez, R.: Software quality through the eyes of the end-user and static analysis tools: A study on android oss applications, Proc. 1st International Workshop on Software Qualities and Their Dependencies, SQUADE '18, pp.1-4, Association for Computing Machinery (2018). [10] Crowston, K., Annabi, H., Howison, J. and Masango, C.: Effective work practices for software engineering: Free/libre open source software development, Proc. 2004 ACM Workshop on Interdisciplinary Software Engineering Research, WISER '04, pp.18-26, Association for Computing Machinery (2004). [34] Raza, A., Capretz, L.F. and Ahmed, F.: An open source usability maturity model (OS-UMM), Computers in Human Behavior, Vol.28, No.4, pp.1109-1121 (2012). [5] Bano, M. and Zowghi, D.: A systematic review on the relationship between user involvement and system success, Information and Software Technology, Vol.58, pp.148-169 (2015). [26] López, L., Burgués, X., Martínez-Fernández, S., Vollmer, A.M., Behutiye, W., Karhapää, P., Franch, X., Rodríguez, P. and Oivo, M.: Quality measurement in agile and rapid software development: A systematic mapping, Journal of Systems and Software, Vol.186, 111187 (2022). [30] Panichella, S., Di Sorbo, A., Guzman, E., Visaggio, C.A., Canfora, G. and Gall, H.C.: How can i improve my app? Classifying user reviews for software maintenance and evolution, 2015 IEEE International Conference on Software Maintenance and Evolution (ICSME), pp.281-290 (2015). [16] Grootendorst, M.: Bertopic: Neural topic modeling with a class-based tf-idf procedure (2022). [9] Cockburn, A.: Agile Software Development (2002). [31] Petersen, K.: A palette of lean indicators to detect waste in software maintenance: A case study, Wohlin, C. (Ed.), Agile Processes in Software Engineering and Extreme Programming, pp.108-122, Berlin, Heidelberg, Springer Berlin Heidelberg (2012). [38] Tait, P. and Vessey, I.: The effect of user involvement on system success: A contingency approach, MIS Quarterly, Vol.12, No.1, pp.91-108 (1988). [11] Deshpande, G. and Rokne, J.: User feedback from tweets vs app store reviews: An exploratory study of frequency, timing and content, 2018 5th International Workshop on Artificial Intelligence for Requirements Engineering (AIRE), pp.15-21 (2018). [27] Mujtaba, S., Feldt, R. and Petersen, K.: Waste and lead time reduction in a software product customization process with value stream maps, 2010 21st Australian Software Engineering Conference, pp.139-148 (2010). [36] Shahin, M., Ali Babar, M. and Zhu, L.: Continuous integration, delivery and deployment: A systematic review on approaches, tools, challenges and practices, IEEE Access, Vol.5, pp.3909-3943 (2017). [39] Yang, M., Sato, S., Washizaki, H., Fukazawa, Y. and Takahashi, J.: Identifying characteristics of the agile development process that impact user satisfaction, Proc. 27th International Conference on Evaluation and Assessment in Software Engineering, EASE '23, pp.223-228, Association for Computing Machinery (2023). [6] Bano, M., Zowghi, D. and da Rimini, F.: User satisfaction and system success: An empirical exploration of user involvement in software development, Empirical Software Engineering, Vol.22, No.5, pp.2339-2372 (2017). [19] Honglei, T., Wei, S. and Yanan, Z.: The research on software metrics and software complexity metrics, 2009 International Forum on Computer Science-Technology and Applications, Vol.1, pp.131-136 (2009). [32] Pressman, R.S.: Software engineering: A practitioner's approach by roger pressman (2020). [33] Ram, P., Rodriguez, P. and Oivo, M.: Software process measurement and related challenges in agile software development: A multiple case study, Kuhrmann, M., Schneider, K., Pfahl, D., Amasaki, S., Ciolkowski, M., Hebig, R., Tell, P., Klünder, J. and Küpper, S. (Eds.), Product-Focused Software Process Improvement, pp.272-287, Springer International Publishing (2018). [25] Lavazza, L., Morasca, S., Taibi, D. and Tosi, D.: Applying scrum in an oss development process: An empirical evaluation, Sillitti, A., Martin, A., Wang, X. and Whitworth, E. (Eds.), Agile Processes in Software Engineering and Extreme Programming, pp.147-159, Berlin, Heidelberg, Springer Berlin Heidelberg (2010). [15] Greening, D.R.: Enterprise scrum: Scaling scrum to the executive level, 2010 43rd Hawaii International Conference on System Sciences, pp.1-10 (2010). [35] Rodríguez, P., Markkula, J., Oivo, M. and Turula, K.: Survey on agile and lean usage in finnish software industry, Proc. ACM-IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM '12, pp.139-148, Association for Computing Machinery (2012). [21] Iivari, N.: “Constructing the users” in open source software development: An interpretive case study of user participation, IT & People, Vol.22, pp.132-156 (2009). [28] Noei, E. and Lyons, K.: A survey of utilizing user-reviews posted on google play store, Proc. 29th Annual International Conference on Computer Science and Software Engineering, CASCON '19, pp.54-63 (2019). [3] Anderson, D.J.: Stretching agile to fit CMMI level 3 - the story of creating MSF for CMMI/spl reg/ process improvement at microsoft corporation, Agile Development Conference (ADC'05), pp.193-201 (2005). [8] Bonta, V., Kumaresh, N. and Naulegari, J.: A comprehensive study on lexicon based approaches for sentiment analysis, Asian Journal of Computer Science and Technology, Vol.8, pp.1-6 (2019). [2] Al-Saqqa, S., Sawalha, S. and Abdelnabi, H.: Agile software development: Methodologies and trends, Int. J. Interact. Mob. Technol., Vol.14, pp.246-270 (2020). [13] Feng-Yang, K.: A methodolgy for deriving an entity-relationship model based on a data flow diagram, Journal of Systems and Software, Vol.24, No.2, pp.139-154, Object-orientation in Info. Systems (1994). [18] Hodgetts, P.: Refactoring the development process: Experiences with the incremental adoption of agile practices, Agile Development Conference, pp.106-113 (2004). [24] Kupiainen, E., Mäntylä, M.V. and Itkonen, J.: Using metrics in agile and lean software development - A systematic literature review of industrial studies, Information and Software Technology, Vol.62, pp.143-163 (2015). [1] Abrahamsson, P., Salo, O., Ronkainen, J. and Warsta, J.: Agile software development methods: Review and analysis, ArXiv, abs/1709.08439 (2017). 22 23 24 25 26 27 28 29 30 31 10 32 11 33 12 34 13 35 14 36 15 37 16 38 17 39 18 19 1 2 3 4 5 6 7 8 9 20 21 |
| References_xml | – reference: [11] Deshpande, G. and Rokne, J.: User feedback from tweets vs app store reviews: An exploratory study of frequency, timing and content, 2018 5th International Workshop on Artificial Intelligence for Requirements Engineering (AIRE), pp.15-21 (2018). – reference: [14] Fenton, N. and Bieman, J.: Software Metrics: A Rigorous and Practical Approach, Third Edition, Chapman & Hall/CRC Innovations in Software Engineering and Software Development Series, CRC Press (2014). – reference: [5] Bano, M. and Zowghi, D.: A systematic review on the relationship between user involvement and system success, Information and Software Technology, Vol.58, pp.148-169 (2015). – reference: [30] Panichella, S., Di Sorbo, A., Guzman, E., Visaggio, C.A., Canfora, G. and Gall, H.C.: How can i improve my app? Classifying user reviews for software maintenance and evolution, 2015 IEEE International Conference on Software Maintenance and Evolution (ICSME), pp.281-290 (2015). – reference: [12] Di Sorbo, A., Panichella, S., Alexandru, C.V., Shimagaki, J., Visaggio, C.A., Canfora, G. and Gall, H.C.: What would users change in my app? summarizing app reviews for recommending software changes, Proc. 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, FSE 2016, pp.499-510, Association for Computing Machinery (2016). – reference: [39] Yang, M., Sato, S., Washizaki, H., Fukazawa, Y. and Takahashi, J.: Identifying characteristics of the agile development process that impact user satisfaction, Proc. 27th International Conference on Evaluation and Assessment in Software Engineering, EASE '23, pp.223-228, Association for Computing Machinery (2023). – reference: [24] Kupiainen, E., Mäntylä, M.V. and Itkonen, J.: Using metrics in agile and lean software development - A systematic literature review of industrial studies, Information and Software Technology, Vol.62, pp.143-163 (2015). – reference: [7] Beck, K.: Extreme Programming Explained: Embrace Change, An Alan R. Apt Book Series, Addison-Wesley (2000). – reference: [20] Hutto, C. and Gilbert, E.: Vader: A parsimonious rule-based model for sentiment analysis of social media text, Proc. International AAAI Conference on Web and Social Media, Vol.8, No.1, pp.216-225 (2014). – reference: [15] Greening, D.R.: Enterprise scrum: Scaling scrum to the executive level, 2010 43rd Hawaii International Conference on System Sciences, pp.1-10 (2010). – reference: [16] Grootendorst, M.: Bertopic: Neural topic modeling with a class-based tf-idf procedure (2022). – reference: [38] Tait, P. and Vessey, I.: The effect of user involvement on system success: A contingency approach, MIS Quarterly, Vol.12, No.1, pp.91-108 (1988). – reference: [6] Bano, M., Zowghi, D. and da Rimini, F.: User satisfaction and system success: An empirical exploration of user involvement in software development, Empirical Software Engineering, Vol.22, No.5, pp.2339-2372 (2017). – reference: [3] Anderson, D.J.: Stretching agile to fit CMMI level 3 - the story of creating MSF for CMMI/spl reg/ process improvement at microsoft corporation, Agile Development Conference (ADC'05), pp.193-201 (2005). – reference: [25] Lavazza, L., Morasca, S., Taibi, D. and Tosi, D.: Applying scrum in an oss development process: An empirical evaluation, Sillitti, A., Martin, A., Wang, X. and Whitworth, E. (Eds.), Agile Processes in Software Engineering and Extreme Programming, pp.147-159, Berlin, Heidelberg, Springer Berlin Heidelberg (2010). – reference: [36] Shahin, M., Ali Babar, M. and Zhu, L.: Continuous integration, delivery and deployment: A systematic review on approaches, tools, challenges and practices, IEEE Access, Vol.5, pp.3909-3943 (2017). – reference: [26] López, L., Burgués, X., Martínez-Fernández, S., Vollmer, A.M., Behutiye, W., Karhapää, P., Franch, X., Rodríguez, P. and Oivo, M.: Quality measurement in agile and rapid software development: A systematic mapping, Journal of Systems and Software, Vol.186, 111187 (2022). – reference: [21] Iivari, N.: “Constructing the users” in open source software development: An interpretive case study of user participation, IT & People, Vol.22, pp.132-156 (2009). – reference: [27] Mujtaba, S., Feldt, R. and Petersen, K.: Waste and lead time reduction in a software product customization process with value stream maps, 2010 21st Australian Software Engineering Conference, pp.139-148 (2010). – reference: [23] Kitchenham, B.: What's up with software metrics? - A preliminary mapping study, Journal of Systems and Software, Vol.83, No.1, pp.37-51 (2010). – reference: [13] Feng-Yang, K.: A methodolgy for deriving an entity-relationship model based on a data flow diagram, Journal of Systems and Software, Vol.24, No.2, pp.139-154, Object-orientation in Info. Systems (1994). – reference: [37] Srisopha, K. and Alfayez, R.: Software quality through the eyes of the end-user and static analysis tools: A study on android oss applications, Proc. 1st International Workshop on Software Qualities and Their Dependencies, SQUADE '18, pp.1-4, Association for Computing Machinery (2018). – reference: [32] Pressman, R.S.: Software engineering: A practitioner's approach by roger pressman (2020). – reference: [1] Abrahamsson, P., Salo, O., Ronkainen, J. and Warsta, J.: Agile software development methods: Review and analysis, ArXiv, abs/1709.08439 (2017). – reference: [4] Bano, M. and Zowghi, D.: User involvement in software development and system success: A systematic literature review, Proc. 17th International Conference on Evaluation and Assessment in Software Engineering, EASE '13, pp.125-130, Association for Computing Machinery (2013). – reference: [9] Cockburn, A.: Agile Software Development (2002). – reference: [31] Petersen, K.: A palette of lean indicators to detect waste in software maintenance: A case study, Wohlin, C. (Ed.), Agile Processes in Software Engineering and Extreme Programming, pp.108-122, Berlin, Heidelberg, Springer Berlin Heidelberg (2012). – reference: [18] Hodgetts, P.: Refactoring the development process: Experiences with the incremental adoption of agile practices, Agile Development Conference, pp.106-113 (2004). – reference: [34] Raza, A., Capretz, L.F. and Ahmed, F.: An open source usability maturity model (OS-UMM), Computers in Human Behavior, Vol.28, No.4, pp.1109-1121 (2012). – reference: [19] Honglei, T., Wei, S. and Yanan, Z.: The research on software metrics and software complexity metrics, 2009 International Forum on Computer Science-Technology and Applications, Vol.1, pp.131-136 (2009). – reference: [8] Bonta, V., Kumaresh, N. and Naulegari, J.: A comprehensive study on lexicon based approaches for sentiment analysis, Asian Journal of Computer Science and Technology, Vol.8, pp.1-6 (2019). – reference: [17] Highsmith, J. and Fowler, M.: The agile manifesto, Software Development Magazine, Vol.9, No.8, pp.29-30 (2001). – reference: [28] Noei, E. and Lyons, K.: A survey of utilizing user-reviews posted on google play store, Proc. 29th Annual International Conference on Computer Science and Software Engineering, CASCON '19, pp.54-63 (2019). – reference: [10] Crowston, K., Annabi, H., Howison, J. and Masango, C.: Effective work practices for software engineering: Free/libre open source software development, Proc. 2004 ACM Workshop on Interdisciplinary Software Engineering Research, WISER '04, pp.18-26, Association for Computing Machinery (2004). – reference: [33] Ram, P., Rodriguez, P. and Oivo, M.: Software process measurement and related challenges in agile software development: A multiple case study, Kuhrmann, M., Schneider, K., Pfahl, D., Amasaki, S., Ciolkowski, M., Hebig, R., Tell, P., Klünder, J. and Küpper, S. (Eds.), Product-Focused Software Process Improvement, pp.272-287, Springer International Publishing (2018). – reference: [2] Al-Saqqa, S., Sawalha, S. and Abdelnabi, H.: Agile software development: Methodologies and trends, Int. J. Interact. Mob. Technol., Vol.14, pp.246-270 (2020). – reference: [29] Noei, E., Zhang, F. and Zou, Y.: Too many user-reviews! what should app developers look at first? IEEE Trans. Software Engineering, Vol.47, No.2, pp.367-378 (2021). – reference: [22] Ives, B. and Olson, M.H.: User involvement and mis success: A review of research, Management Science, Vol.30, No.5, pp.586-603 (1984). – reference: [35] Rodríguez, P., Markkula, J., Oivo, M. and Turula, K.: Survey on agile and lean usage in finnish software industry, Proc. 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