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Software Effort Estimation as a Classification Problem.

, , and . ICSOFT (SE/MUSE/GSDCA), page 274-277. INSTICC Press, (2008)

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How Effective is Test Driven Development?, , , , and . Making software : what really works, and why we believe it, O'Reilly, Farnham; Cambridge, First edition, (2011)Direct and indirect effects of software defect predictors on development lifecycle: an industrial case study, , and . Proceedings of the 19th International Symposium on Software Reliability Engineering, Seattle, USA, (November 2008)An industry experiment on the effects of test-driven development on external quality and productivity, , , , , , , , , and 1 other author(s). Empirical Software Engineering, (2016)Special section on realizing artificial intelligence synergies in software engineering, and . Software Quality Journal, 25 (1): 231--233 (2017)A Dissection of Test-Driven Development: Does It Really Matter to Test-First or to Test-Last?, , , , and . IEEE Transactions on Software Engineering, (2016)Learning Better Inspection Optimization Policies, , , , and . International Journal of Software Engineering and Knowledge Engineering, 22 (5): 621--644 (2012)Ensemble of neural networks with associative memory (ENNA) for estimating software development costs, , and . Knowledge-Based Systems, 22 (6): 395--402 (2009)A new perspective on data homogeneity in software cost estimation: a study in the embedded systems domain, , and . Software Quality Journal, 18 (1): 57--80 (2010)A controlled experiment on time pressure and confirmation bias in functional software testing, , and . Empirical Software Engineering, (December 2018)The effect of noise on requirements comprehension, , , , and . Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, ICSE 2018, Gothenburg, Sweden, May 27 - June 03, 2018, page 308--309. (2018)