Abstract
In this paper, we present the innovative advanced data analysis dedicated for product owners in software development teams. The goal of our work is to provide advanced data analysis to improve software quality, management and dependability. The major contribution of this work is the methodology and the tool that gathers the input raw data from the tools such as GitLab or SonarQube, and processes the data further (e.g. using Apache Kafka, Kibana and Spark) to calculate and visualize more advanced metrics and to find correlations between them. We present results and helpful charts and visualization supporting product owners.
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References
Kozik, R., Choraś, M., Flizikowski, A., Theocharidou, M., Rosato, V., Rome, E.: Advanced services for critical infrastructures protection. J. Ambient Intell. Humanized Comput. 6(6), 783–795 (2015)
Choraś, M., Kozik, R., Puchalski, D., Holubowicz, W.: Correlation approach for SQL injection attacks detection. In: Herrero, A., et al. (eds.) Advances in Intelligent and Soft Computing, vol. 189, pp. 177–186. Springer (2012)
Choraś, M., Kozik, R.: Network event correlation and semantic reasoning for federated networks protection system. In: Chaki, N., et al. (eds.) Computer Information Systems Analysis and Technologies. CCIS, pp. 48–54. Springer (2011)
Jorgensen, P.C.: Software Testing: A Craftsman’s Approach. CRC Press, Hoboken (2016)
Capgemini: World Quality Report 2016–17, 8th edn. https://www.capgemini.com/world-quality-report-2016-17/. Accessed 9 Oct 2017
Jones, C., Bonsignour, O.: The Economics of Software Quality. Addison-Wesley Professional, Reading (2011)
Felderer, M., Ramler, R.: Risk orientation in software testing processes of small and medium enterprises: an exploratory and comparative study. Softw. Qual. J. 24(3), 519–548 (2016)
H2020 project Q-Rapids. http://www.q-rapids.eu/. Accessed 9 Oct 2017
Kozik, R., Choraś, M., Puchalski, D., Renk, R.: Data analysis tool supporting software analysis process. In: Proceedings of 14th IEEE International Scientific Conference on Informatics, Poprad, Slovakia, 14–16 November 2017, pp. 179–184 (2017)
Acknowledgments
This work is funded under BSM 80/2017 and Q-Rapids project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 732253.
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Kozik, R., Choraś, M., Puchalski, D., Renk, R. (2019). Platform for Software Quality and Dependability Data Analysis. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Contemporary Complex Systems and Their Dependability. DepCoS-RELCOMEX 2018. Advances in Intelligent Systems and Computing, vol 761. Springer, Cham. https://doi.org/10.1007/978-3-319-91446-6_29
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DOI: https://doi.org/10.1007/978-3-319-91446-6_29
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