Identifying Association between Longer Itemsets and Software Defects

Author:

Rana Zeeshan A.,Malik Sehrish Abdul,Shamail Shafay,Awais Mian M.

Publisher

Springer Berlin Heidelberg

Reference12 articles.

1. Anwar, S., Rana, Z.A., Shamail, S., Awais, M.M.: Using association rules to identify similarities between software datasets. In: The 8th International Conference on the Quality of Information and Communications Technology (QUATIC), pp. 114–119. IEEE Computer Society, Lisbon (2012)

2. Baojun, M., Dejaeger, K., Vanthienen, J., Baesens, B.: Software defect prediction based on association rule classification. Open Access publications from Katholieke Universiteit Leuven urn:hdl:123456789/296322, Katholieke Universiteit Leuven (February 2011)

3. Boetticher, G., Menzies, T., Ostrand, T.: Promise repository of empirical software engineering data (2007)

4. Challagulla, V.U.B., Bastani, F.B., Paul, R.A.: Empirical assessment of machine learning based sofwtare defect prediction techniques. In: Proceedings of 10th Workshop on Object-Oriented Real-Time Dependable Systems (WORDS 2005), pp. 263–270. IEEE Computer Society, Washington, DC (2005)

5. Fenton, N.E., Neil, M.: A critique of software defect prediction models. IEEE Transactions on Software Engineering 25(5), 675–687 (1999)

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