Results 51 to 60 of about 7,357,569 (397)

On Agent-Based Software Engineering [PDF]

open access: yes, 2000
Agent-based computing represents an exciting new synthesis both for Artificial Intelligence (AI) and, more generally, Computer Science. It has the potential to significantly improve the theory and the practice of modeling, designing, and implementing ...
Jennings, N. R.
core   +7 more sources

Software Quality Models: A Comprehensive Review and Analysis [PDF]

open access: yesJournal of Electrical and Computer Engineering Innovations, 2017
Background and Objectives: One of the major challenges in software engineering is how to respond to the desolate state of high-quality software development in a timely and cost-effective manner. Many studies have been conducted in an attempt to formalize
M. Sadeghzadeh Hemayati, H. Rashidi
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

Software application in mining engineering [PDF]

open access: yes, 2018
Purpose. The main purpose is solving transportation problems using some methods of transportation modeling by linear programming. Linear programming has already demonstrated its value as an aid to making decisions in mining, business, industry, and ...
Ali, Mahrous A.M.
core   +1 more source

Towards semantic software engineering environments [PDF]

open access: yes, 2002
Software tools processing partially common set of data should share an understanding of what these data mean. Since ontologies have been used to express formally a shared understanding of information, we argue that they are a way towards Semantic SEEs ...
Bertollo, G.   +5 more
core   +5 more sources

An Activity Theory-Based Approach for Context Analysis, Design and Evolution

open access: yesApplied Sciences, 2022
This paper presents a new interdisciplinary approach to support context modeling in context-awareness software developments. The premise of this approach relies on the idea that understanding a complex socio-technical ecology, while adapting the software
Ismael Camargo-Henríquez, Andrés Silva
doaj   +1 more source

Designing a consulting services architecture model [PDF]

open access: yes, 2015
textDuring my years of experience in the technology industry, it has become obvious that standard processes and methodologies within the engineering discipline are at a mature state.
Pinkston, Jeffrey Lynn
core   +1 more source

Detailed kinship estimation for detecting bias among breeding families in a reintroduced population of the endangered bagrid catfish Tachysurus ichikawai

open access: yesPopulation Ecology, EarlyView.
In the process of captive breeding and reintroduction of endangered animal species, it is crucial to minimize familial bias in reproductive success during the reintroduction phase to preserve genetic diversity. In this study, we attempted to identify the familial lineage of individuals of the endangered bagrid fish Tachysurus ichikawai born at the ...
Hinano Mizuno   +5 more
wiley   +1 more source

The Framework For The Discipline Of Software Engineering in Connection to Information Technology Discipline [PDF]

open access: yesarXiv, 2022
This paper represents preliminary work in identifying the foundation for the discipline of Software Engineering and discovering the links between the domains of Software Engineering and Information Technology (IT). Our research utilized IEEE Transactions on Software Engineering (IEEE-TSE), ACM Transactions on Software Engineering and Methodology (ACM ...
arxiv  

Machine Learning for Software Engineering: Models, Methods, and Applications [PDF]

open access: yes, 2018
Machine Learning (ML) is the discipline that studies methods for automatically inferring models from data. Machine learning has been successfully applied in many areas of software engineering ranging from behaviour extraction, to testing, to bug fixing ...
Bennaceur, Amel, Meinke, Karl
core   +1 more source

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