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Full-Text Articles in Software Engineering
Efficacy Of Reported Issue Times As A Means For Effort Estimation, Paul Phillip Maclean
Efficacy Of Reported Issue Times As A Means For Effort Estimation, Paul Phillip Maclean
Graduate Theses, Dissertations, and Problem Reports
Software effort is a measure of manpower dedicated to developing and maintaining and software. Effort estimation can help project managers monitor their software, teams, and timelines. Conversely, improper effort estimation can result in budget overruns, delays, lost contracts, and accumulated Technical Debt (TD). Issue Tracking Systems (ITS) have become mainstream project management tools, with over 65,000 companies using Jira alone. ITS are an untapped resource for issue resolution effort research. Related work investigates issue effort for specific issue types, usually Bugs or similar. They model their developer-documented issue resolution times using features from the issues themselves. This thesis explores a …
Security Bug Report Classification Using Feature Selection, Clustering, And Deep Learning, Tanner D. Gantzer
Security Bug Report Classification Using Feature Selection, Clustering, And Deep Learning, Tanner D. Gantzer
Graduate Theses, Dissertations, and Problem Reports
As the numbers of software vulnerabilities and cybersecurity threats increase, it is becoming more difficult and time consuming to classify bug reports manually. This thesis is focused on exploring techniques that have potential to improve the performance of automated classification of software bug reports as security or non-security related. Using supervised learning, feature selection was used to engineer new feature vectors to be used in machine learning. Feature selection changes the vocabulary used by selecting words with the greatest impact on classification. Feature selection was able to increase the F-Score across the datasets by increasing the precision. We also explored …