A systematic review of machine learning techniques for software fault prediction

R Malhotra - Applied Soft Computing, 2015 - Elsevier
Background Software fault prediction is the process of developing models that can be used
by the software practitioners in the early phases of software development life cycle for …

Machine learning based methods for software fault prediction: A survey

SK Pandey, RB Mishra, AK Tripathi - Expert Systems with Applications, 2021 - Elsevier
Several prediction approaches are contained in the arena of software engineering such as
prediction of effort, security, quality, fault, cost, and re-usability. All these prediction …

Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans

A Dai, D Ritchie, M Bokeloh, S Reed… - Proceedings of the …, 2018 - openaccess.thecvf.com
We introduce ScanComplete, a novel data-driven approach for taking an incomplete 3D
scan of a scene as input and predicting a complete 3D model along with per-voxel semantic …

Software fault prediction metrics: A systematic literature review

D Radjenović, M Heričko, R Torkar… - Information and software …, 2013 - Elsevier
CONTEXT: Software metrics may be used in fault prediction models to improve software
quality by predicting fault location. OBJECTIVE: This paper aims to identify software metrics …

[图书][B] Software metrics: a rigorous and practical approach

N Fenton, J Bieman - 2014 - books.google.com
Reflecting the immense progress in the development and use of software metrics in the past
decades, this third edition provides an up-to-date, accessible, and comprehensive …

Bug characteristics in open source software

L Tan, C Liu, Z Li, X Wang, Y Zhou, C Zhai - Empirical software …, 2014 - Springer
To design effective tools for detecting and recovering from software failures requires a deep
understanding of software bug characteristics. We study software bug characteristics by …

Empirical study of software defect prediction: a systematic mapping

LH Son, N Pritam, M Khari, R Kumar, PTM Phuong… - Symmetry, 2019 - mdpi.com
Software defect prediction has been one of the key areas of exploration in the domain of
software quality. In this paper, we perform a systematic mapping to analyze all the software …

Architectural smells detected by tools: a catalogue proposal

U Azadi, FA Fontana, D Taibi - 2019 IEEE/ACM International …, 2019 - ieeexplore.ieee.org
Architectural smells can negatively impact on different software qualities and can represent
a relevant source of architectural debt. Several architectural smells have been defined by …

Preventing defects: The impact of requirements traceability completeness on software quality

P Rempel, P Mäder - IEEE Transactions on Software …, 2016 - ieeexplore.ieee.org
Requirements traceability has long been recognized as an important quality of a well-
engineered system. Among stakeholders, traceability is often unpopular due to the unclear …

Predictive models in software engineering: Challenges and opportunities

Y Yang, X Xia, D Lo, T Bi, J Grundy… - ACM Transactions on …, 2022 - dl.acm.org
Predictive models are one of the most important techniques that are widely applied in many
areas of software engineering. There have been a large number of primary studies that …