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Software Defect Prediction from Code Quality Measurements via Machine Learning
[chapter]
2018
Lecture Notes in Computer Science
Software Defect Prediction from Code Quality Measurements via Machine Learning ...
quality of the code that the team produces. ...
This distribution is applicable to similar domain and quality threshold software development programs across language types. ...
doi:10.1007/978-3-319-89656-4_35
fatcat:dg7lsvmaazdl3ezsfxq6eissm4
Measuring Code Quality to Improve Specification Mining
2012
IEEE Transactions on Software Engineering
We measure code quality by extracting additional information from the software engineering process and using information from code that is more likely to be correct, as well as code that is less likely ...
To address this problem, we propose to augment a temporal-property miner by incorporating code quality metrics. ...
We go farther than these metrics by examining additional software engineering artifacts to measure quality. Unlike FPA, our work does not consider usefulness of code. ...
doi:10.1109/tse.2011.5
fatcat:rqwh76s4n5haxjj7st66zilucm
Code Ownership and Software Quality: A Replication Study
2015
2015 IEEE/ACM 12th Working Conference on Mining Software Repositories
Index Terms-Empirical software engineering, code ownership, software quality by rolling back changes. ...
Further, we define several new ownership metrics to investigate the dependency between ownership and code quality on file and directory level for 4 major Microsoft products. ...
for code quality for other software systems than for Windows? ...
doi:10.1109/msr.2015.8
dblp:conf/msr/GreilerHC15
fatcat:mqtaoz6yqndndbp3gjfmbhdnnm
Code quality analysis in open source software development
2002
Information Systems Journal
In this paper, we present the results of a pilot case study aiming: (a) to understand the implications of structural quality; and (b) to figure out the benefits of structural quality analysis of the code ...
To this end, we have measured quality characteristics of 100 applications written for Linux, using a software measurement tool, and compared the results with the industrial standard that is proposed by ...
Data from these programs were collected for 10 metrics to measure component quality [for a thorough discussion on structural metrics, see (Fenton & Pfleeger, 1997) ]. ...
doi:10.1046/j.1365-2575.2002.00117.x
fatcat:gdoh7zzsrbak3gj3ns334p7l24
Comparing design and code metrics for software quality prediction
2008
Proceedings of the 4th international workshop on Predictor models in software engineering - PROMISE '08
We analyze thirteen datasets from NASA Metrics Data Program which offer design as well as code metrics. ...
The prediction of fault-prone modules continues to attract interest due to the significant impact it has on software quality assurance. ...
It is not unusual to derive design metrics from code. Reverse engineering of quality measures has been used in many studies [10, 9, 6, 5, 28, 29] . ...
doi:10.1145/1370788.1370793
fatcat:p3bvuedlzzfddokpzu7at75y44
Supporting Quality In Test Code For Higher Quality Software Systems
2021
Zenodo
Automated testing has become an essential process for improving the quality of software systems. ...
Then, we study test design issues and their impact on the overall software code quality, demonstrating how important it is to have a good and effective test suite. ...
It can be incorporated into another higher level metric to measure test code quality. ...
doi:10.5281/zenodo.4600817
fatcat:5j26gy2wzjfljkij6vkq2wkvd4
Studying the relationship between source code quality and mobile platform dependence
2014
Software quality journal
metrics and source code quality. ...
Source Code Quality Source code quality can be defined and measured in a number of ways. One commonly used technique is to use the number of defects in a file as a measure of quality. ...
doi:10.1007/s11219-014-9238-2
fatcat:5gzz6lme2vanbbd6jmey2delxa
Handover of managerial responsibilities in global software development: a case study of source code evolution and quality
2014
Software quality journal
Quality is investigated quantitatively using defect data, and measures that quantify two source code properties, size and complexity. ...
Context: Studies report on the negative effect on quality in global software development (GSD) due to communication and coordination related challenges. ...
DarjaŠmite, at Software Engineering Research Lab (SERL), for their valuable comments on the paper. ...
doi:10.1007/s11219-014-9247-1
fatcat:ve7tb4bnxrdindoq4igwxwlrzi
Studying the relationship between logging characteristics and the code quality of platform software
2013
Empirical Software Engineering
These logs capture the doubts, concerns, and needs of developers and operators of platform software. We believe that such logs can be used to better understand code quality. ...
Inspired by prior studies on code quality, we defined logrelated product metrics, such as the number of log lines in a file, and logrelated process metrics such as the number of changed log lines. ...
Case Study Setup To study the relation between logging characteristics and code quality, we conduct case studies on two large and widely used open-source platform software: -Hadoop [1] is a large distributed ...
doi:10.1007/s10664-013-9274-8
fatcat:qtsfindk6fc27jld4hzp5kmfzm
An empirical study of the impact of modern code review practices on software quality
2015
Empirical Software Engineering
Prior work has shown that formal code inspections tend to improve the quality of delivered software. ...
Although recent work explores the modern code review process, little is known about the relationship between modern code review practices and long-term software quality. ...
Software quality There are many empirical studies that propose software metrics to predict software quality. ...
doi:10.1007/s10664-015-9381-9
fatcat:zddolv4eubba5m2tv2bl7avfby
A large study on the effect of code obfuscation on the quality of java code
2014
Empirical Software Engineering
The effectiveness of these source code obfuscations has been measured using 10 code metrics, considering modularity, size and complexity of code. ...
Results: Results show that some of the considered obfuscations are effective in making code metrics change substantially from original to obfuscated code, although this change (called potency of the obfuscation ...
Sanity Check In the real world software systems may vary considerably in terms of code quality metrics. ...
doi:10.1007/s10664-014-9321-0
fatcat:yhobczotxvd3rnyftctrd557qi
Exploring the suitability of source code metrics for indicating architectural inconsistencies
2018
Software quality journal
., Herold, S. (2018) Exploring the suitability of source code metrics for indicating architectural inconsistencies Software quality journal ...
This is the published version of a paper published in Software quality journal. ...
SonarQube is a sophisticated quality assurance suite that features many source code metrics, ranging from anomaly counts, similar to FindBugs or PMD, to traditional size and complexity metrics (Campbell ...
doi:10.1007/s11219-018-9404-z
fatcat:xjj4uruty5htdb4ltem3p5mw2i
The impact of code review coverage and code review participation on software quality: a case study of the qt, VTK, and ITK projects
2014
Proceedings of the 11th Working Conference on Mining Software Repositories - MSR 2014
Prior work has shown that the formal code inspections of the past tend to improve the quality of software delivered by students and small teams. ...
Hence, in this paper, we study the relationship between software quality and: (1) code review coverage, i.e., the proportion of changes that have been code reviewed, and (2) code review participation, ...
Software quality. There are many empirical studies that propose software metrics to predict software quality. ...
doi:10.1145/2597073.2597076
dblp:conf/msr/McIntoshKAH14
fatcat:tqxaomaczzekrllfmi5c3em5ii
Communication and Code Dependency Effects on Software Code Quality: An Empirical Analysis of Herbsleb Hypothesis
[article]
2022
arXiv
pre-print
In order to allow other researchers to confirm/improve/refute our results, all our scripts and data are available, on-line at https://github.com/Anonymous633671/A-Comparison-on-Communication-and-Code-Dependency-Effects-on-Software-Code-Quality ...
To test the Hersleb hypothesis, we develop and apply two metrics of (a) "social-ness'"and (b) "hero-ness" that measure (a) how much one developer comments on the issues of another; and (b) how much one ...
Hence in software engineering research, it is a pressing issue to understand why so many projects are hero-based and what are implication of communication between these developers have on code quality ...
arXiv:1904.09954v3
fatcat:dcludx4g55dehlcibzm2mqzjyi
Applying Bayesian Analysis Guidelines to Empirical Software Engineering Data: The Case of Programming Languages and Code Quality
[article]
2021
arXiv
pre-print
To demonstrate the guidelines in practice, we apply them to reanalyze a GitHub dataset about code quality in different programming languages. ...
In the process, we will also shed light on some critical aspects of the analyzed data and of the relationship between programming languages and code quality. ...
Measuring size. Code size is a basic yet essential measure of complexity, which correlates with lots of other useful metrics of quality [33] . ...
arXiv:2101.12591v2
fatcat:mmeuw2ye4neudiwhdk4bs22qqi
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