Results 61 to 70 of about 86,307 (298)
An attribute selection process for software defect prediction
, 2014 In software quality research, software defect prediction is a key topic. The characteristics of software attributes influences the performance and effectiveness of the defect prediction model.
Siddik, Md.S. +5 more
core +1 more source
Semi-supervised Software Defect Prediction Model Based on Tri-training
KSII Transactions on Internet and Information Systems, 2021 Aiming at the problem of software defect prediction difficulty caused by insufficient software defect marker samples and unbalanced classification, a semi-supervised software defect prediction model based on a tri-training algorithm was proposed by ...
Fanqi Meng, Wenying Cheng, Jingdong Wang
semanticscholar +1 more source
Personalized Defect Prediction
, 2013 Academia and industry expend much effort to predict software defects. Researchers proposed many defect prediction algorithms and metrics. While previous defect prediction techniques often take the author of the code into consideration, none of these ...
Jiang, Tian
core +2 more sources
FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Graph-based ML JIT defect prediction pipeline.
, 2023 The increasing complexity of today’s software requires the contribution of thousands of developers. This complex collaboration structure makes developers more likely to introduce defect-prone changes that lead to software faults.
Jonathan Bryan (15285217) +1 more
core +1 more source
Within-Project Defect Prediction of Infrastructure-as-Code Using Product and Process Metrics
IEEE Transactions on Software Engineering, 2021 Infrastructure-as-code (IaC) is the DevOps practice enabling management and provisioning of infrastructure through the definition of machine-readable files, hereinafter referred to as IaC scripts. Similarly to other source code artefacts, these files may
Stefano Dalla Palma +3 more
semanticscholar +1 more source
Building a Rule-Based Expert System to Enhance the Hard Disk Drive Manufacturing Processes
IEEE AccessThe manufacturing of hard disk drives involves the intricate assembly of numerous components, making the testing process time-consuming and resource intensive.
Suppakrit Kirdponpattara +2 more
doaj +1 more source
Cross–Project Defect Prediction With Respect To Code Ownership Model: An Empirical Study
e-Informatica Software Engineering Journal, 2015 The paper presents an analysis of 83 versions of industrial, open-source and academic projects. We have empirically evaluated whether those project types constitute separate classes of projects with regard to defect prediction.
Marian Jureczko, Lech Madeyski
doaj +1 more source
FEBS Letters, EarlyView.Structural and biochemical characterisations show that the planar cell polarity (PCP) protein Inturned harbours a unique PDZ‐like domain that does not bind canonical PDZ‐binding motifs (PBMs) like that of another PCP protein Vangl2. In contrast, the apical‐basal polarity protein Scribble contains four PDZ domains that bind Vangl2, but one PDZ domain ...
Stephan Wilmes +4 more
wiley +1 more source
Software Measurement and Defect Prediction with Depress Extensible Framework
Foundations of Computing and Decision Sciences, 2014 Context. Software data collection precedes analysis which, in turn, requires data science related skills. Software defect prediction is hardly used in industrial projects as a quality assurance and cost reduction mean. Objectives.
Madeyski Lech, Majchrzak Marek
doaj +1 more source