Academic literature on the topic 'SOFTWARE DEFECT REPORTS'

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Journal articles on the topic "SOFTWARE DEFECT REPORTS"

1

Jindal, Rajni, Ruchika Malhotra, and Abha Jain. "Predicting Software Maintenance Effort by Mining Software Project Reports Using Inter-Version Validation." International Journal of Reliability, Quality and Safety Engineering 23, no. 06 (2016): 1640009. http://dx.doi.org/10.1142/s021853931640009x.

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Changes in the software are unavoidable due to an ever changing dynamic and active environment wherein expectations and requirements of the users tend to change rapidly. As a result, software needs to upgrade itself from its previous version to the next version in order to meet expectations of the user. The upgradation of the software is in terms of total number of Lines of Code (LOC) that might have been inserted, deleted or modified in moving from one version of software to the next. These changes are maintained in the change reports which constitute of the defect ID and defect description.
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2

Malhotra, Ruchika, Nidhi Kapoor, Rishabh Jain, and Sahaj Biyani. "Severity Assessment of Software Defect Reports using Text Classification." International Journal of Computer Applications 83, no. 11 (2013): 13–16. http://dx.doi.org/10.5120/14492-2622.

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Jindal, Rajni, Ruchika Malhotra, and Abha Jain. "Prediction of defect severity by mining software project reports." International Journal of System Assurance Engineering and Management 8, no. 2 (2016): 334–51. http://dx.doi.org/10.1007/s13198-016-0438-y.

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4

Marappan, Shanmugasundaram, Archana Kollu, Ismail Keshta, Shehab Mohamed Beram, Sahil Bhende, and Karthikeyan Kaliyaperumal. "An Optimized Systematic Approach to Identify Bugs in Cloud-Based Software." Scientific Programming 2022 (September 15, 2022): 1–10. http://dx.doi.org/10.1155/2022/2302027.

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The resolution of a software bug depends on the severity of the defect report. Open-source software defect tracking solutions have taken over as the principal means of processing enormous amounts of defect information data due to the ongoing increase in software scale. Dealing with software faults requires analyzing the implications of defect report severity in the data warehouse. Thus, the authors have proposed an optimized systematic approach through the research and analysis of Bugzilla defect tracking system data in this study, where it is found that the attribute characteristics of differ
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5

Mellegard, Niklas, Hakan Burden, Daniel Levin, Kenneth Lind, and Ana Magazinius. "Contrasting Big Bang With Continuous Integration Through Defect Reports." IEEE Software 37, no. 3 (2020): 14–20. http://dx.doi.org/10.1109/ms.2018.2880822.

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Sultan, Torky, Ayman E. Khedr, and Mostafa Sayed. "A Proposed Defect Tracking Model for Classifying the Inserted Defect Reports to Enhance Software Quality Control." International Journal of Computer Applications 67, no. 14 (2013): 1–7. http://dx.doi.org/10.5120/11460-7068.

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Sultan, Torky, Ayman Khedr, and Mostafa Sayed. "A Proposed Defect Tracking Model for Classifying the Inserted Defect Reports to Enhance Software Quality Control." Acta Informatica Medica 21, no. 2 (2013): 103. http://dx.doi.org/10.5455/aim.2013.21.103-108.

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8

Yadla, Suresh, Jane Huffman Hayes, and Alex Dekhtyar. "Tracing requirements to defect reports: an application of information retrieval techniques." Innovations in Systems and Software Engineering 1, no. 2 (2005): 116–24. http://dx.doi.org/10.1007/s11334-005-0011-3.

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9

Pipitone, J., and S. Easterbrook. "Assessing climate model software quality: a defect density analysis of three models." Geoscientific Model Development 5, no. 4 (2012): 1009–22. http://dx.doi.org/10.5194/gmd-5-1009-2012.

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Abstract. A climate model is an executable theory of the climate; the model encapsulates climatological theories in software so that they can be simulated and their implications investigated. Thus, in order to trust a climate model, one must trust that the software it is built from is built correctly. Our study explores the nature of software quality in the context of climate modelling. We performed an analysis of defect reports and defect fixes in several versions of leading global climate models by collecting defect data from bug tracking systems and version control repository comments. We f
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Pipitone, J., and S. Easterbrook. "Assessing climate model software quality: a defect density analysis of three models." Geoscientific Model Development Discussions 5, no. 1 (2012): 347–82. http://dx.doi.org/10.5194/gmdd-5-347-2012.

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Abstract. A climate model is an executable theory of the climate; the model encapsulates climatological theories in software so that they can be simulated and their implications investigated. Thus, in order to trust a climate model one must trust that the software it is built from is built correctly. Our study explores the nature of software quality in the context of climate modelling. We performed an analysis of defect reports and defect fixes in several versions of leading global climate models by collecting defect data from bug tracking systems and version control repository comments. We fo
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