Toward prioritization of self-admitted technical debt: an approach to support decision to payment
Author:
Funder
Coordination of Superior Level Staff Improvement
Publisher
Springer Science and Business Media LLC
Subject
Safety, Risk, Reliability and Quality,Software
Link
https://link.springer.com/content/pdf/10.1007/s11219-021-09578-7.pdf
Reference34 articles.
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2. Bavota, G., & Russo, B. (2016). A large-scale empirical study on self-admitted technical debt. In: 2016 IEEE/ACM 13th Working Conference on Mining Software Repositories (MSR) (pp. 315–326). https://doi.org/10.1109/MSR.2016.040.
3. Brown, N., Cai, Y., Guo, Y., Kazman, R., Kim, M., Kruchten, P., Lim, E., MacCormack, A., Nord, R., Ozkaya, I., Sangwan, R., Seaman, C., Sullivan, K., & Zazworka, N. (2010). Managing technical debt in software-reliant systems. In: Proceedings of the FSE/SDP Workshop on Future of Software Engineering Research, FoSER ’10 (pp. 47–52). ACM, New York, NY, USA. https://doi.org/10.1145/1882362.1882373
4. Cunningham, W. (1992). The wycash portfolio management system. SIGPLAN OOPS Mess., 4(2), 29–30. https://doi.org/10.1145/157710.157715.
5. Digkas, G., Lungu, M., Avgeriou, P., Chatzigeorgiou, A., & Ampatzoglou, A. (2018). How do developers fix issues and pay back technical debt in the apache ecosystem? In: 2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER) (pp. 153–163). https://doi.org/10.1109/SANER.2018.8330205.
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