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How to Make Best Use of Cross-Company Data for Web Effort Estimation?

, , , and . ESEM, page 172-181. IEEE Computer Society, (2015)

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A Framework for Genetic Algorithms Based on Hadoop., , , and . CoRR, (2013)The Quest for Content: A Survey of Search-Based Procedural Content Generation for Video Games., , and . CoRR, (2023)Diversifying Focused Testing for Unit Testing., , , , and . ACM Trans. Softw. Eng. Methodol., 30 (4): 44:1-44:24 (2021)Comparing Fuzzers on a Level Playing Field with FuzzBench., , , , and . ICST, page 302-311. IEEE, (2022)The importance of accounting for real-world labelling when predicting software vulnerabilities., , , , , and . ESEC/SIGSOFT FSE, page 695-705. ACM, (2019)Py2Cy: a genetic improvement tool to speed up python., , and . GECCO Companion, page 1950-1955. ACM, (2022)Search-based approaches for software development effort estimation.. PROFES Workshops, page 38-43. ACM, (2011)On the Relationship Between Story Points and Development Effort in Agile Open-Source Software., , and . ESEM, page 183-194. ACM, (2022)elephant56: Design and Implementation of a Parallel Genetic Algorithms Framework on Hadoop MapReduce., , and . GECCO (Companion), page 1315-1322. ACM, (2016)Using Web Objects for Development Effort Estimation of Web Applications: A Replicated Study., , , and . PROFES, volume 6759 of Lecture Notes in Business Information Processing, page 186-201. Springer, (2011)