Results 281 to 290 of about 122,840 (334)

Continuous Software Bug Prediction

Proceedings of the 15th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2021
Background: Many software bug prediction models have been proposed and evaluated on a set of well-known benchmark datasets. We conducted pilot studies on the widely used benchmark datasets and observed common issues among them. Specifically, most of existing benchmark datasets consist of randomly selected historical versions of software projects, which
Song Wang   +3 more
openaire   +1 more source

Recognizing software bug-specific named entity in software bug repository

Proceedings of the 26th Conference on Program Comprehension, 2018
Software bug issues are unavoidable in software development and maintenance. In order to manage bugs effectively, bug tracking systems are developed to help to record, manage and track the bugs of each project. The rich information in the bug repository provides the possibility of establishment of entity-centric knowledge bases to help understand and ...
Cheng Zhou   +3 more
openaire   +1 more source

Severity prediction of software bugs

2016 7th International Conference on Information and Communication Systems (ICICS), 2016
We target the problem of identifying the severity of a bug report. Our main aim is to develop an intelligent system that is capable of predicting the severity of a newly submitted bug report through a bug tracking system. For this purpose, we build a dataset consisting of 59 features characterizing 163 instances that belong to two classes: severe and ...
Ahmed Fawzi Otoom   +3 more
openaire   +1 more source

The exterminators [software bugs

IEEE Spectrum, 2005
This paper describes a sound methodology developed at Praxis High Integrity Systems for detecting and exterminating bugs during all stages of a software project. To develop software, the London-based software house uses mathematically based techniques, known as formal methods, which require that programmers begin their work not by writing code but ...
openaire   +1 more source

Intelligent bug fixing with software bug knowledge graph

Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018
Software bugs continuously emerge during the process of software evolution. With the increasing size and complexity of software, bug fixing becomes increasingly more difficult. Bug and commit data of open source projects, Q&A documents and other software resources contain a sea of bug knowledge which can be utilized to help developers understand and ...
openaire   +1 more source

Reproducibility of Software Bugs

2016
Understanding software bugs and their effects is important in several engineering activities, including testing, debugging, and design of fault containment or tolerance methods. Dealing with hard-to-reproduce failures requires a deep comprehension of the mechanisms leading from bug activation to software failure.
FRATTINI, FLAVIO   +2 more
openaire   +2 more sources

Software Bug Prediction Using Machine Learning

2022
Abstract — Predicting software bugs is an important part of the software development process. SBP's purpose is to find software modules that have problems. A software bug is a flaw or defect in the development and design of computer software. SBP can help you get rid of bugs. Early detection of software issues aids in the reduction of software bugs. To
Gopika Das, Binumon Joseph
openaire   +1 more source

Empirical Study on Software Bug Prediction

Proceedings of the 2017 International Conference on Software and e-Business, 2017
Software defect prediction is a vital research direction in software engineering field. Software defect prediction predicts whether software errors are present in the software by using machine learning analysis on software metrics. It can help software developers to improve the quality of the software.
Syed Rizwan   +3 more
openaire   +1 more source

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