An efficient and secure feature location approach in source code using Jacobian matrix-based clustering
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-05490-6.pdf
Reference21 articles.
1. Chochlov M, English M, Buckley J (2017) A historical, textual analysis approach to feature location. Inf Softw Technol 88:110–126
2. Tampubolon AP, Hendradjaya N, Sunindyo WD (2016) Feature identification of program source code using regular expression. In: International conference on data and software engineering (ICoDSE). IEEE, pp 1–6
3. Jordan H, Rosik J, Herold S, Botterweck G, Buckley J (2015) Manually locating features in industrial source code: the search actions of software nomads. In: IEEE 23rd international conference on program comprehension. IEEE, pp 174–177
4. Armaly A, Klaczynski J, McMillan C (2016) A case study of automated feature location techniques for industrial cost estimation. In: IEEE international conference on software maintenance and evolution (ICSME). IEEE, pp 553–562
5. Corley CS, Damevski K, Kraft NA (2015) Exploring the use of deep learning for feature location. In: IEEE international conference on software maintenance and evolution (ICSME). IEEE, pp 556–560
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