A Comparative Study of Contemporary Learning Paradigms in Bug Report Priority Detection by Eyup Halit Yilmaz, Ismail Hakki Toroslu, Omer Koksal

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A hybrid deep learning approach with genetic and coral reefs metaheuristics for enhanced defect detection in software by Kajal Tameswar, Geerish Suddul, Kumar Dookhitram

Subjects: “…Software bug prediction…”
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Software Defect Prediction Based on Machine Learning and Deep Learning Techniques: An Empirical Approach by Waleed Albattah, Musaad Alzahrani

“…Software bug prediction is a software maintenance technique used to predict the occurrences of bugs in the early stages of the software development process. …”
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Research of Four-tier Design Method of Software Reliability by CHEN Jian-wei

“…The paper introduced development process of software bug, software defect, software fault and software failure, and put forward corresponding four-tier design methods of software reliability, including error avoided design, error checked design, error corrected design and fault-tolerant design. …”
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A Comprehensive Introduction to Software Metric / by Morin, Oscar, author 639792

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Severity Prediction for Bug Reports Using Multi-Aspect Features: A Deep Learning Approach by Anh-Hien Dao, Cheng-Zen Yang

“…The severity of software bug reports plays an important role in maintaining software quality. …”
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Cracking the Code of Neuronal Cell Fate by Giovanna Morello, Valentina La Cognata, Maria Guarnaccia, Velia D’Agata, Sebastiano Cavallaro

“…Similar to computers, where faults often arise from a software bug, neuronal fate may critically depend on its transcription program. …”
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Multi-view learning for software defect prediction by Elife Ozturk Kiyak, Derya Birant, Kokten Ulas Birant

“…Results: In the experimental studies, our algorithm (MVKNN) is compared with the standard k-nearest neighbors (KNN) algorithm on 50 datasets obtained from different software bug repositories. The experimental results demonstrate that the MVKNN method outperformed KNN on most of the datasets in terms of accuracy. …”
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Testing of complex, large-scale distributed storage systems: a CERN disk storage case study by Makai Jozsef, Peters Andreas Joachim, Bitzes Georgios, Sindrilaru Elvin Alin, Simon Michal Kamil, Manzi Andrea

“…The central role that such complex systems play in mission critical tasks and also in the daily activity of the users means that any software bug affecting the availability of the service has far reaching effects. …”
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Bug Localization for Version Issues With Defect Patterns by Xiaobing Sun, Wei Zhou, Bin Li, Zhen Ni, Jinting Lu

“…Version issues are becoming more and more prominent with the continuous development of software. Bug localization for version issues is time-consuming and labor-intensive. …”
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Quantitative Quality Evaluation of Software Products by Considering Summary and Comments Entropy of a Reported Bug by Madhu Kumari, Ananya Misra, Sanjay Misra, Luis Fernandez Sanz, Robertas Damasevicius, V.B. Singh

“…A software bug is characterized by its attributes. Various prediction models have been developed using these attributes to enhance the quality of software products. …”
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Convolutional Neural Networks-Based Locating Relevant Buggy Code Files for Bug Reports Affected by Data Imbalance by Guangliang Liu, Yang Lu, Ke Shi, Jingfei Chang, Xing Wei

“…Software bug localization is very important in software engineering, but it is also complicated and time consuming. …”
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Mapping Bug Reports to Relevant Source Code Files Based on the Vector Space Model and Word Embedding by Guangliang Liu, Yang Lu, Ke Shi, Jingfei Chang, Xing Wei

“…Although software bug localization in software maintenance and evolution is cumbersome and time-consuming, it is also very important, especially for large-scale software projects. …”
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Mining Software Repositories for Defect Categorization by Sakthi Kumaresh, Ramachandran Baskaran

“…The proposed algorithm is designed by using text clustering and works with three major modules to find out the class to which the defect should be assigned. Software bug repositories hold software defect data with attributes like defect description, status, defect open and close date. …”
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An Extended Survey Concerning the Significance of Artificial Intelligence and Machine Learning Techniques for Bug Triage and Management by Razvan Bocu, Alexandra Baicoianu, Arpad Kerestely

“…Additionally, the paper provides a valuable scientific literature survey for any researcher or practitioner in software bug triage and management systems based on artificial intelligence and machine learning techniques.…”
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Feature importance feedback with Deep Q process in ensemble-based metaheuristic feature selection algorithms by Jhansi Lakshmi Potharlanka, Nirupama Bhat M

“…Specifically, the proposed model achieved a 9.5% higher precision, an 8.5% higher accuracy, an 8.3% higher recall, a 4.9% higher AUC, and a 5.9% higher specificity across multiple software bug prediction datasets and samples. By resolving some of the key issues in existing feature selection methods and achieving superior performance metrics, this work paves the way for more robust and efficient machine learning models in various applications, from healthcare to natural language processing scenarios. …”
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Optimal frequency bands for pupillography for maximal correlation with HRV by Júlio Medeiros, André Bernardes, Ricardo Couceiro, Paulo Oliveira, Henrique Madeira, César Teixeira, Paulo Carvalho

“…From a controlled experiment involving 21 programmers performing software bug inspection, our study pinpoints the optimal low-frequency (0.06-0.29 Hz) and high-frequency (0.29-0.49 Hz) bands. …”
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Enhancing Bug Localization Using Phase-Based Approach by Amr Mansour Mohsen, Hesham A. Hassan, Khaled T. Wassif, Ramadan Moawad, Soha H. Makady

“…Software bug localization is an important step in the software maintenance process. …”
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Model-based guidelines for user-centric satellite control software development by Thipphayathetthana, Somwang

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Nature-Based Prediction Model of Bug Reports Based on Ensemble Machine Learning Model by Shatha Abed Alsaedi, Amin Yousef Noaman, Ahmed A. A. Gad-Elrab, Fathy Elbouraey Eassa

“…We simulate the proposed model by using a publicly available dataset for two online software bug repositories (Mozilla and Eclipse), which includes six classes: Program Anomaly, GUI, Network or Security, Configuration, Performance, and Test-Code. …”
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