Interactive Code Smells Detection: An Initial Investigation

详细信息    查看全文

• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9962
• 期：1
• 页码：281-287
• 全文大小：252 KB
• 参考文献：1.Mäntylä, M., Vanhanen, J., Lassenius, C.: A taxonomy and an initial empirical study of bad smells in code. In: Proceedings of Conference Name, Conference Location, pp. 381–384 (2003)
  2.Marinescu, R.: Detection strategies: metrics-based rules for detecting design flaws. In: Proceedings of Conference Name, Conference Location, pp. 350–359 (2004)
  3.Moha, N., Gueheneuc, Y.-G., Duchien, L., Le Meur, A.-F.: DECOR: a method for the specification and detection of code and design smells. IEEE Trans. Softw. Eng. 36(1), 20–36 (2010)CrossRef MATH
  4.Kessentini, M., Kessentini, W., Sahraoui, H., Boukadoum, M., Ouni, A.: Design defects detection and correction by example. In: Proceedings of Conference Name, Conference Location, pp. 81–90, 22–24 June 2011
  5.Mäntylä, M.V., Lassenius, C.: Subjective evaluation of software evolvability using code smells: an empirical study. Empirical Softw. Eng. 11(3), 395–431 (2006)CrossRef
  6.Deb, K., Srinivasan, A.: Innovization: innovating design principles through optimization. In: Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, Seattle, Washington, USA (2006)
  7.Marinescu, R., Ganea, G., Verebi, I.: inCode: continuous quality assessment and improvement. In: Proceedings of Conference Name, Conference Location, pp. 274–275 (2010)
  8.Williamson, D.F., Parker, R.A., Kendrick, J.S.: The box plot: a simple visual method to interpret data. Ann. Intern. Med. 110(11), 916–921 (1989)CrossRef
  9.Mkaouer, M.W., Kessentini, M., Bechikh, S., Deb, K., Ó Cinnéide, M.: Recommendation system for software refactoring using innovization and interactive dynamic optimization. In: Proceedings of Conference Name, Conference Location, pp. 331–336 (2014)
  
• 作者单位：Mohamed Wiem Mkaouer (15)
  
  15. Department of Computer and Information Science, University of Michigan, 4901 Evergreen Road, Dearborn, MI, 48128, USA
  
• 丛书名：Search Based Software Engineering
• ISBN：978-3-319-47106-8
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349
• 卷排序：9962

文摘

In this paper, we introduced a novel technique to generate more user-oriented detection rules by taking into account their feedback. Our techniques initially generate a set of detection rules that will be used to detect candidate code smells, these reported code smells will be exposed in an interactive fashion to the developer who will give his/her feedback by either approving or rejecting the identified code smell in the code fragment. This feedback will be fed to the GP as constraints and additional examples in order to converge towards more user-preferred detection rules. We initially investigated the detection of three types of code smells in four open source systems and reported that the interactive code smell detection achieves a precision of 89 % and recall on average when detecting infected classes. Results show that our approach can best imitate the user’s decision while omitting the complexity of manual tuning the detection rules.