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4 articles for “Bug Prediction”
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Unleashing the Power of Data Mining in Software Engineering: Applications and Case Studies
Abstract: Recent times have seen the nexus of data mining and software engineering evolve into a potent force, promising to redefine both fields. This paper highlights the critical role and varies uses of data mining within the software engineering domain, backed by the latest academic resources. The deep dive reveals critical data mining methodologies, their pertinent role across different sectors, and their unique implementations within software engineering. Various organizations, including well-known …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 3, 2023 · pp. 1–6 Read article
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Bug Triage with Bug Data Reduction
Abstract: The process of fixing bug is bug triage, which aims to correctly assign a developer to a new bug. Software companies spend most of their cost in dealing with these bugs. To reduce time and cost of bug triaging, we present an automatic approach to predict a developer with relevant experience to solve the new coming report. In proposed approach we are doing data reduction on bug data set which …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 3, 2015 · pp. 1–4 Read article
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Constraints and Limitationsin Software Reliability Prediction
Abstract: AbstractSoftware, as entered into our lives in all aspects. We are now so dependent on technology that it has become very critical for our lives. All the modern technological development, be it in any field incorporates the usage of software directly or indirectly. Due to this the need for reliable software is also gaining importance. A software in deeply tested before being brought into its professional application but still it …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 52–56 Read article
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Cure Fraction Estimation for Traumatic Lumbar Puncture in Patients with Acute Lymphoblastic Leukemia
Abstract: The foremost aim of this research was to estimate the proportion of long-term survivors for traumatic and bloody lumbar puncture in patients suffering from acute lymphoblastic leukemia (ALL). To decide the resonance point of platelet for predicting traumatic event the receiver operating characteristics curve was used. Logistic regression and Cox proportional hazard regression was used to detect risk factors for the traumatic event and any relapse, respectively. To appraise the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 7, Issue 3, 2018 · pp. 12–21 Read article