Suchergebnisse - "Computer software selection and evaluation"

A Road-Map to Readily Available Early Validation and Verification of System Behaviour in Model-Based Systems Engineering using Software Engineering Best Practices

Autoren: Cederbladh, Johan Cicchetti, Antonio Jongeling, Robbert

Quelle: ACM Transactions on Software Engineering and Methodology. 34(5)

Schlagwörter: Behaviour, Early, Models, Systems, Validation, Verification, Computer aided software engineering, Computer operating systems, Computer software maintenance, Computer software selection and evaluation, Model checking, Software design, Software quality, Behavior, Engineering best practice, Model-based system engineerings, Roadmap, System, System behaviors, Validation and verification, Verification method, System of systems

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-72169
https://doi.org/10.1145/3708520

Supporting the identification of prevalent quality issues in code changes by analyzing reviewers’ feedback

Autoren: Iftikhar, Umar Börstler, Jürgen, Professor Ali, Nauman bin, Dr. et al.

Quelle: eLLIIT – The Linköping – Lund Initiative on IT and Mobile Communication Software quality journal. 33(2)

Schlagwörter: Modern code review, Natural language processing, Open-source systems, Software quality improvement, Computer software selection and evaluation, Open source software, Software design, Code changes, Code review, Domain experts, Language processing, Natural languages, Open source system, Software quality improvements, Topic Modeling, Software quality

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-27789
https://doi.org/10.1007/s11219-025-09720-9

Exploring the role of project status information in effective code smell detection

Autoren: Alkharabsheh, Khalid Alawadi, Sadi Crespo, Yania et al.

Quelle: Cluster Computing. 28(1)

Schlagwörter: Code smell detection, Machine learning, Maintainability, Software quality, Computer software selection and evaluation, Random forests, Code smell, Feature data, Features selection, Machine learning techniques, Machine-learning, Numerical information, Status informations, Training sets

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-27051
https://doi.org/10.1007/s10586-024-04724-9

Visualizing CI’s role in software quality attribute evaluation: A Roadmap for Using Continuous Integration Environments

Autoren: Yu, Liang Alégroth, Emil Chatzipetrou, Panagiota et al.

Quelle: Communications of the ACM. 67(6):82-90

Schlagwörter: Attribute evaluation, Continuous integrations, Integration environments, Roadmap, Software quality attributes, Computer software selection and evaluation

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-26367
https://doi.org/10.1145/3631519

FedCSD: A Federated Learning Based Approach for Code-Smell Detection

Autoren: Alawadi, Sadi Alkharabsheh, Khalid Alkhabbas, Fahed et al.

Quelle: IEEE Access. 12:44888-44904

Schlagwörter: code smell detection, federated learning, privacy-preserving, Software quality, technical debit, Application programs, Codes (symbols), Computer software maintenance, Computer software selection and evaluation, Cryptography, Object oriented programming, Odors, Code, Code smell, Ho-momorphic encryptions, Homomorphic-encryptions, Object oriented modelling, Privacy preserving, Data privacy

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-26101
https://doi.org/10.1109/ACCESS.2024.3380167

Challenges and Opportunities for Generative AI in Software Engineering: A Managerial View

Autoren: Sergio Rico Lena-Maria Öberg

Quelle: Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering. :1338-1344

Schlagwörter: Empirical Study, Large Language Model, Code Development, Programvaruteknik, Software Quality Assurance, Large Language Models (llms), Software Engineering, Language Model, Software Quality, Computer Software Selection And Evaluation, Software Design, Empirical Studies, Generative Ai, Adoption, Generative Ai (genai), Engineering Education, Software Engineering Practices, Quality Assurance, Human Resource Management, Team Coordination, Information Systems

Dateibeschreibung: application/pdf

Zugangs-URL: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-55438

Guidelines for Supporting Software Engineers in Developing Secure Web Applications

Autoren: Svensson, Klara Axelrod, Drake Mohamad, Mazen et al.

Quelle: Lecture Notes in Computer Science. 15452 LNCS:123-138

Schlagwörter: Application programs, Computer aided software engineering, Computer software selection and evaluation, Cyber security, Design-science researches, Different stages, Guideline, Interview, Research studies, Security threats, Software applications, WEB application, Web applications, Life cycle

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-77996

Free open source communities sustainability: Does it make a difference in software quality?

Autoren: Alami, Adam Pardo, Raúl Linåker, Johan

Quelle: Empirical Software Engineering. 29(5)

Schlagwörter: Codes (symbols), Computer software selection and evaluation, Defects, Open source software, Open systems, Probability distributions, Code quality, Community sustainability, Free and open source community, Free and open source software sustainability, Free and open source softwares, Open source communities, OSS, Quality metrices, Software Quality, Sustainability metrics, Sustainable development

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-74706
https://doi.org/10.1007/s10664-024-10529-6

Potential effectiveness and efficiency issues in usability evaluation within digital health: A systematic literature review

Autoren: Maqbool, Bilal, Doktorant Herold, Sebastian

Quelle: Journal of Systems and Software. 208

Schlagwörter: Computer software selection and evaluation, Efficiency, Heuristic methods, mHealth, Quality control, Usability engineering, Digital healthcare, Effectiveness and efficiencies, Ehealth, Healthcare systems, Software Quality, Systematic literature review, Usability evaluation, Usability evaluation methods, User groups, Eye tracking, Computer Science, Datavetenskap

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-97573
https://doi.org/10.1016/j.jss.2023.111881

Industrial adoption of machine learning techniques for early identification of invalid bug reports

Autoren: Laiq, Muhammad Ali, Nauman bin, Dr. Börstler, Jürgen et al.

Quelle: eLLIIT – The Linköping – Lund Initiative on IT and Mobile Communication Empirical Software Engineering. 29(5)

Schlagwörter: Concept drift, Defect classification, Invalid bug reports, Machine learning, Software maintenance, Software quality, Computer software maintenance, Computer software selection and evaluation, Industrial research, Technology transfer, Bug reports, Concept drifts, Industrial adoption, Industrial practices, Invalid bug report, Machine learning techniques, Machine-learning, Transfer models, Forecasting

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-26802
https://doi.org/10.1007/s10664-024-10502-3

The AIQ Meta-Testbed: Pragmatically Bridging Academic AI Testing and Industrial Q Needs

Autoren: Borg, Markus

Quelle: Lecture Notes in Business Information Processing. 404:66-77

Schlagwörter: Artificial intelligence, Machine learning, Quality assurance, Software testing, Testbed, Anthropomorphic robots, Computer software selection and evaluation, Social robots, Testbeds, Humanoid robot

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-52908
https://doi.org/10.1007/978-3-030-65854-0_6

Towards a Tool Supported Approach for Regulatory Requirements Engineering

Autoren: Elahidoost, Parisa

Quelle: 2024 IEEE 32nd International Requirements Engineering Conference (RE). :520-524

Schlagwörter: Application programs, Requirements Engineering, Supportive tools, Programvaruteknik, Requirement engineering, Computer aided software engineering, Regulatory requirements, Software Engineering, 02 engineering and technology, Software requirements, Change-Impact Analysis, Computer software selection and evaluation, Software testing, Development and operations, Industrial research, Regulatory oversight, System engineers, Change impact analysis, Software intensive systems, 0202 electrical engineering, electronic engineering, information engineering, Regulatory Compliance, Computer software reusability, Critical tasks

Dateibeschreibung: application/pdf

Zugangs-URL: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-26894

Software selection in large-scale software engineering: A model and criteria based on interactive rapid reviews

Autoren: Bjarnason, Elizabeth Åberg, Patrik Ali, Nauman bin, Dr.

Quelle: ELLIIT eLLIIT – The Linköping – Lund Initiative on IT and Mobile Communication Empirical Software Engineering. 28(2)

Schlagwörter: Computer software selection and evaluation, Software design, CBSE, Component based, Component selection, Ericsson, Informed decision, Large-scales, Rapid review, Software component selections, Software selection, Tool selection, Iterative methods, Component-based

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-24374
https://doi.org/10.1007/s10664-023-10288-w

Systematic mapping study on requirements engineering for regulatory compliance of software systems

Autoren: Kosenkov, Oleksandr Elahidoost, Parisa Gorschek, Tony et al.

Quelle: Information and Software Technology. 178

Schlagwörter: Compliance requirements, Regulatory compliance, Regulatory requirements engineering, Requirements engineering, Secondary research, Software compliance, Software engineering, Computer aided software engineering, Computer software reusability, Computer software selection and evaluation, Mapping, Software design, Software quality, Compliance requirement, Principles and practices, Process areas, Product and services, Regulatory requirement engineering, Regulatory requirements, Requirement engineering, Secondary researches, Application programs

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-27180
https://doi.org/10.1016/j.infsof.2024.107622

Tool-supported design of data aggregation processes in cloud monitoring systems

Autoren: Cai, Simin Gallina, Barbara Nyström, Dag et al.

Quelle: Journal of Ambient Intelligence and Humanized Computing. 10(7):2519-2535

Schlagwörter: Cloud monitoring system design, Consistency checking, Data aggregation, Feature model, Computer software selection and evaluation, Design, Quality control, Specifications, Taxonomies, Based specification, Cloud monitoring, Efficient monitoring, Feature modeling, Large amounts of data, Propositional formulas, Monitoring

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-43881
https://doi.org/10.1007/s12652-018-0730-6

Mining user reviews of COVID contact-tracing apps: An exploratory analysis of nine European apps

Autoren: Garousi, Vahid Cutting, David Felderer, Michael

Quelle: Journal of Systems and Software. 184

Schlagwörter: Contact-tracing, COVID, Data mining, Mobile apps, Software engineering, Software in society, User reviews, Application programs, Computer software selection and evaluation, Decision making, App stores, Contact tracing, Coronaviruses, End-users, Exploratory analysis, Gain insight, Mobile app

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-22400
https://doi.org/10.1016/j.jss.2021.111136

A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class

Autoren: Alkharabsheh, Khalid Alawadi, Sadi Kebande, Victor R. et al.

Quelle: Information and Software Technology. 143

Schlagwörter: Balanced data, Design smell detection, God class, Machine learning, Software quality, Balancing, Computer software selection and evaluation, Learning algorithms, Life cycle, Odors, Software design, Balanced datasets, Context design, Imbalanced dataset, Machine learning algorithms, Machine learning approaches, Performance, Software-systems

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-22375
https://doi.org/10.1016/j.infsof.2021.106736

Gaps in Software Testing Education: A Survey of Academic Courses in Sweden

Autoren: Barrett, Ayodele Enoiu, Eduard Paul, PhD Afzal, Wasif

Quelle: Software Engineering Education Conference, Proceedings. :108-117

Schlagwörter: academic software testing education, curricula, higher education, software quality, software testing, survey, Sweden, Acceptance tests, Computer software selection and evaluation, Software design, Academic course, Course planning, High educations, Software testings, Swedishs, Unit testing

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-72620

A Functional Software Reference Architecture for LLM-Integrated Systems

Autoren: Bucaioni, Alessio Weyssow, M. He, J. et al.

Quelle: Proc. - IEEE Int. Conf. Softw. Archit., ICSA-C. :1-5

Schlagwörter: functional reference architecture, LLMs, Software reference architecture, Common object request broker architecture (CORBA), Computer operating systems, Computer software selection and evaluation, Natural language processing systems, Open source software, Problem oriented languages, Search engines, Software design, Decisions makings, Functionals, Integrated systems, Language model, LLM, Natural language understanding, Reference architecture, Software reference architectures, Software-systems, Interoperability

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-72421

LLM-Based Recommender Systems for Violation Resolutions in Continuous Architectural Conformance

Autoren: Rubei, R. Di Salle, A. Bucaioni, Alessio

Quelle: Proc. - IEEE Int. Conf. Softw. Archit., ICSA-C. :404-409

Schlagwörter: architectural conformance, Large language models, model-driven engineering, recommender systems, Software quality, Architectural pattern, Architectural style, Language model, Large language model, Quality of softwares, Reference architecture, Software intensive systems, Software product line architecture, Computer software selection and evaluation

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-72425