An Empirical Study of the Software Development Process, Including Its Requirements Engineering, at Very Large Organization: How to Use Data Mining in Such a Study-Reference-Cited by-同舟云学术

An Empirical Study of the Software Development Process, Including Its Requirements Engineering, at Very Large Organization: How to Use Data Mining in Such a Study

Published:2018 Issue: Volume: Page:15-25
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Werner Colin M.,Berry Daniel M.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-7796-8_2

Reference22 articles.

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2. Werner, C.M.: A case study of a very large organization. Master’s thesis, University of Waterloo, Waterloo (2012)

3. Agrawal, K., Aschauer, M., Thonhofer, T., Bala, S., Rogge-Solti, A., Tomsich, N.: Resource classification from version control system logs. In: IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW), pp. 1–10 (2016)

4. Graves, T.L., Karr, A.F., Marron, J.S., Siy, H.: Predicting fault incidence using software change history. IEEE Trans. Software Eng. 26(7), 653–661 (2000)

5. Engler, D., Chen, D.Y., Hallem, S., Chou, A., Chelf, B.: Bugs as deviant behavior: a general approach to inferring errors in systems code. In: 18th ACM Symposium on Operating Systems Principles (SOSP), pp. 57–72 (2001)

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