Zobrazeno 1 - 10
of 455
pro vyhledávání: '"software fault prediction"'
Publikováno v:
Discover Internet of Things, Vol 4, Iss 1, Pp 1-18 (2024)
Abstract Feature selection (FS) plays a crucial role in software fault prediction (SFP), aiming to identify a subset of relevant and discriminative features from a large pool of software metrics. It serves as a critical preprocessing step in building
Externí odkaz:
https://doaj.org/article/1204a3ac2d994cd2a80e53085ba9991f
Publikováno v:
Tạp chí Khoa học và Công nghệ, Pp 1-5 (2024)
Software fault prediction (SFP) is an important approach in software engineering that ensures software quality and reliability. Prediction of software faults helps developers identify faulty components in software systems. Several studies focus on so
Externí odkaz:
https://doaj.org/article/08bac12175734b7f9e0405ad5279701b
Publikováno v:
PeerJ Computer Science, Vol 10, p e2270 (2024)
Software fault prediction is crucial to compute the potential occurrence of faults within the software components, before code testing or execution. Machine learning, especially deep learning, has been applied to predict faults, but both encounter ch
Externí odkaz:
https://doaj.org/article/b2ddb710ba2241639482cf3195223868
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 1, Pp 363-372 (2024)
Software quality assurance has grown in importance in the fast-paced world of software development. One of trickiest parts of creating and maintaining software is predicting how well it will perform. The term "computer evaluation" refers to use of ad
Externí odkaz:
https://doaj.org/article/841cd543c1834642b99f5bf651aec00e
Autor:
Sureka Sivavelu, Venkatesh Palanisamy
Publikováno v:
IEEE Access, Vol 12, Pp 119958-119972 (2024)
Software fault prediction is a significant task in software development to discover faults early. It is the process of developing models that can be used by the software practitioners in the early phases of software development life cycle for detecti
Externí odkaz:
https://doaj.org/article/706fe5b4a1fe4eb0ad06018fbca0b84d
Autor:
Himansu Das, Swarnava Das, Mahendra Kumar Gourisaria, Surbhi Bhatia Khan, Ahlam Almusharraf, Abdullah I. Alharbi, T. R. Mahesh
Publikováno v:
IEEE Access, Vol 12, Pp 105309-105325 (2024)
Software fault prediction (SFP) is a critical focus in software engineering, aiming to enhance productivity and minimize costs by detecting faults early. Feature selection (FS) is pivotal in SFP, enabling the identification of pertinent features for
Externí odkaz:
https://doaj.org/article/bb265f48b02b47bc916ba946dff43c2b
Publikováno v:
IEEE Access, Vol 12, Pp 64212-64227 (2024)
Software fault prediction is a critical aspect of software engineering aimed at improving software quality and reliability. However, it faces significant challenges, including the class imbalance issue in fault data and the need for robust predictive
Externí odkaz:
https://doaj.org/article/e173c47356da4e5991645e958fa92c54
Publikováno v:
IEEE Access, Vol 12, Pp 22582-22594 (2024)
Software Defect Prediction (SDP) reduces the overall cost of software development by identifying the code at a higher risk of defects at the initial phase of software development. SDP helps the test engineers to optimize the allocation of testing res
Externí odkaz:
https://doaj.org/article/7a341795141a485394cbe43f7ee0f0d5
Autor:
Ini Umoeka, Veronica Akwukwuma
Publikováno v:
Journal of Fuzzy Extension and Applications, Vol 4, Iss 3, Pp 188-206 (2023)
The reliability of software product is seen as critical quality factor that cannot be overemphasized. Since real world application is loaded with high amount of uncertainty, such as applicable to software reliability, there should be a technique of d
Externí odkaz:
https://doaj.org/article/0a4adafa4b13445c902d6bf1cb44173d
Publikováno v:
IEEE Access, Vol 11, Pp 30562-30574 (2023)
In software development, identifying software faults is an important task. The presence of faults not only reduces the quality of the software, but also increases the cost of development life cycle. Fault identification can be performed by analysing
Externí odkaz:
https://doaj.org/article/e575af1f79564ab3b2aeb46c61b4e5c3