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Software Metrics: Measuring Haskell [PDF]

open access: yes, 2005
Software metrics have been used in software engineering as a mechanism for assessing code quality and for targeting software development activities, such as testing or refactoring, at areas of a program that will most benefit from them. Haskell has many tools for software engineering, such as testing, debugging and refactoring tools, but software ...
Chris Ryder, Simon J. Thompson
openaire   +2 more sources

Extract Class Refactoring Based on Cohesion and Coupling: A Greedy Approach

open access: yesComputers, 2022
A large class with many responsibilities is a design flaw that commonly occurs in real-world object-oriented systems during their lifespan. Such a class tends to be more difficult to comprehend, test, and change.
Musaad Alzahrani
doaj   +1 more source

Qualitative Clustering of Software Repositories Based on Software Metrics

open access: yesIEEE Access, 2023
Software repositories contain a wealth of information about the aspects related to software development process. For this reason, many studies analyze software repositories using methods of data analytics with a focus on clustering.
Yegor Bugayenko   +6 more
doaj   +1 more source

Predicting Software Cohesion Metrics with Machine Learning Techniques

open access: yesApplied Sciences, 2023
The cohesion value is one of the important factors used to evaluate software maintainability. However, measuring the cohesion value is a relatively difficult issue when tracing the source code manually. Although there are many static code analysis tools,
Elif Nur Haner Kırğıl   +1 more
doaj   +1 more source

CTHP: Selection for adoption of open‐source bioinformatics software based on a customised ISO 25010 quality model, three‐way decision and Delphi hierarchy process

open access: yesIET Software, 2023
The ever‐growing open‐source software tools in different domains increase the difficulty of software selection from the end‐users perspective. The process of evaluating, comparing, and selecting open‐source solutions is far from trivial. Especially, when
Yuqi Li   +4 more
doaj   +1 more source

Error-Type—A Novel Set of Software Metrics for Software Fault Prediction

open access: yesIEEE Access, 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.
Khoa Phung   +2 more
doaj   +1 more source

An Empirical Study on Software Test Effort Estimation for Defense Projects

open access: yesIEEE Access, 2022
Effort estimation of software testing plays a vital role in the effective completion of testing. In particular, software test effort estimation in defense projects is not an easy and simple phenomenon, owing to internal and external factors.
Esra Cibir, Tulin Ercelebi Ayyildiz
doaj   +1 more source

SYSTEMATIC LITERATURE REVIEW OF IOT METRICS [PDF]

open access: yesApplied Computer Science, 2023
The Internet of Things (IoT) touches almost every aspect of modern society and has changed the way people live, work, travel and, do business. Because of its importance, it is essential to ensure that an IoT system is performing well, as desired and ...
Donatien Koulla MOULLA   +2 more
doaj   +1 more source

Comparing Commit Messages and Source Code Metrics for the Prediction Refactoring Activities

open access: yesAlgorithms, 2021
Understanding how developers refactor their code is critical to support the design improvement process of software. This paper investigates to what extent code metrics are good indicators for predicting refactoring activity in the source code.
Priyadarshni Suresh Sagar   +4 more
doaj   +1 more source

CHOOSING METRICS FOR SOFTWARE DEVELOPER’S SCRUM TEAMS

open access: yesНаука Красноярья, 2023
Background. There are many books about software development, slightly fewer books about software development team’s management, and very little about work metrics of software development teams.
Evgeny V. Klinkov
doaj   +1 more source

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