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https://link.springer.com/article/10.1007/s10489-009-0193-8
Sep 19, 2009 · This paper proposes an empirical approach, based on the analysis of defect data, that provides support for software testing management in two ways: (1) construction of a predictive model for defect repair times, and (2) a method for assessing testing quality across multiple releases.Cited by: 13
https://www.researchgate.net/publication/220204738_Mining_software_defect_data_to_support_software_testing_management
This paper proposes an empirical approach, based on the analysis of defect data, that provides support for software testing management in two ways: (1) construction of a predictive model for ...
http://www.processmining.org/_media/publications/joanrigat_masterthesis.pdf
Department of Technology Management Division of Information Systems Master of Science Thesis Data mining analysis of defect data in Software Development Process by Joan Rigat Supervisors Dr.ir. Jos .J.M. Trienekens Ir. Jana. Samalikova, …
https://www.sciencedirect.com/science/article/pii/S209044791400121X
1. Introduction. The data mining approach is used to discover many hidden factors regarding software. This includes the success factors of software projects that attracted researchers a long time ago , the support of software testing management and the defect pattern discovery .The software defects estimation and prediction processes are used in the analysis of software …Cited by: 6
https://www.engpaper.net/data-mining-in-software-testing.htm
GeneMerge-post-genomic analysis, data mining, and hypothesis testing free download perspective. Simple and flexible software that can take advantage of diverse genomic and proteomic data for both data mining and hypothesis testing is required. A great deal of genomic and proteomic information is available.
https://medium.com/@Scopidea/what-is-defect-management-and-its-advantages-56b48ac5d50f
Nov 09, 2016 · Defect management, records all the defect of the software these records can be seen later as well if you want to review or want to check that how you have fixed that. These records can be used the ...Author: Scopidea
https://www.dataminingapps.com/dma_research/empirical-software-engineering/
The development of large and complex software systems is a huge challenge and activities to support software development and project management processes using data mining are an important area of research. A first key task in Empirical Software Engineering is the estimation of the effort needed to develop new software projects.
https://pdfs.semanticscholar.org/b39b/c76e1d4a1d0bb8f1b59d6ad7032fc8a9cd25.pdf
Data Mining Techniques in Software Defect Prediction ... product during system testing contributes not only to the management of the system testing process but also to the estimation of the product’s required maintenance. Defective software modules cause software failures, increase
http://web.cs.elte.hu/blobs/diplomamunkak/bsc_matelem/2017/benko_beatrix.pdf
insight into performance software testing and respectively data mining, with regard to those who are not familiar with these two topics. I represent the process and purpose of stability tests in section 2 and summarise the essential data mining concepts and techniques related to my work in section 3. Additionally, in section 4,
https://www.adminitrack.com/articles/Defect-Management-Software-Tools-System-Plan.aspx
Software development teams and software testing teams have numerous choices of defect management tools to help support their software defect efforts. Even though I am a big proponent of a particular defect tracking tool ( AdminiTrack.com ), selecting and utilizing an effective tool is really only part of an overall defect management system.
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