Integrating software quality models into risk-based testing

Author:

Foidl Harald,Felderer Michael

Funder

University of Innsbruck and Medical University of Innsbruck

Publisher

Springer Science and Business Media LLC

Subject

Safety, Risk, Reliability and Quality,Software

Reference73 articles.

1. Al-Qutaish, R. E. (2010). Quality models in software engineering literature: an analytical and comparative study. Journal of American Science, 6(3), 166–175.

2. Basili, V. R., Briand, L., & Melo, W. L. (1995). Technical report (CS-TR-3443, UMIACS-TR-95-40): a validation of object-oriented design metrics as quality indicators. College Park: University of Maryland, Department of Computer Science.

3. Bissyande, T. F., Lo, D., Jiang, L., Reveillere, L., Klein, J., & and Le Traon, Y. (2013). Got issues? Who cares about it? A large scale investigation of issue trackers from GitHub. 24th international symposium on software reliability engineering (ISSRE). Pasadena: IEEE. Retrieved December 12, 2015, from http://ink.library.smu.edu.sg/sis_research/2087

4. Boehm, B. W., Brown, J. R., Kaspar, H., Lipow, M., McLeod, G. J., & Merrit, M. J. (1978). Characteristics of software quality. Amsterdam: North Holland Publishing.

5. Catal, C., Diri, & Banu (2007). Software fault prediction with object-oriented metrics based Artifical immune recognition system. In J. Münch & P. Abrahamsson (Eds.), Product-focused software process improvement, proceedings 8th international conference, PROFES 2007, LNCS 4589 (pp. 300–314). Berlin: Springer.

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