{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,17]],"date-time":"2025-09-17T03:18:08Z","timestamp":1758079088402,"version":"3.44.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686196","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T00:00:00Z","timestamp":1757980800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,16]]},"abstract":"<jats:p>Efficient identification of failing commits is essential for maintaining software reliability in Continuous Integration (CI) systems. Traditional methods like linear search are effective but can be further optimized to reduce computational costs and time. This paper introduces searching algorithms assisted by a machine learning model designed to enhance the search process. By integrating machine learning predictions, these algorithms offer a more informed and targeted approach. We evaluate them using synthetic datasets that mimic real-world scenarios and a real dataset from a Siemens DISW software project. The results demonstrate that our ML-based algorithms significantly improve the efficiency of CI systems across various levels of model performance.<\/jats:p>","DOI":"10.3233\/faia250511","type":"book-chapter","created":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T13:19:06Z","timestamp":1758028746000},"source":"Crossref","is-referenced-by-count":0,"title":["Machine Learning-Assisted Binary Search for Version Control Bisection"],"prefix":"10.3233","author":[{"given":"Ziad","family":"Amerr","sequence":"first","affiliation":[{"name":"Quality Assurance, Siemens DISW, Cairo, Egypt; ziad.amerr@siemens.com, omar.abdelkader@siemens.com, ahmed.islam@siemens.com, eman.mandouh@siemens.com"}]},{"given":"Omar","family":"Abdelkader","sequence":"additional","affiliation":[{"name":"Quality Assurance, Siemens DISW, Cairo, Egypt; ziad.amerr@siemens.com, omar.abdelkader@siemens.com, ahmed.islam@siemens.com, eman.mandouh@siemens.com"}]},{"given":"Islam","family":"Ahmed","sequence":"additional","affiliation":[{"name":"Quality Assurance, Siemens DISW, Cairo, Egypt; ziad.amerr@siemens.com, omar.abdelkader@siemens.com, ahmed.islam@siemens.com, eman.mandouh@siemens.com"}]},{"given":"Eman","family":"El-Mandouh","sequence":"additional","affiliation":[{"name":"Quality Assurance, Siemens DISW, Cairo, Egypt; ziad.amerr@siemens.com, omar.abdelkader@siemens.com, ahmed.islam@siemens.com, eman.mandouh@siemens.com"}]},{"given":"Ahmed","family":"Hussam","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Mansoura University, Dakahlia, Egypt; ahmed.elhetemy@std.mans.edu.eg, omar.elredeny@std.mans.edu.eg"}]},{"given":"Omar","family":"Magdy","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, Mansoura University, Dakahlia, Egypt; ahmed.elhetemy@std.mans.edu.eg, omar.elredeny@std.mans.edu.eg"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","New Trends in Intelligent Software Methodologies, Tools and Techniques"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA250511","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,16]],"date-time":"2025-09-16T13:19:06Z","timestamp":1758028746000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA250511"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,16]]},"ISBN":["9781643686196"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia250511","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,16]]}}}