Software Dysfunction: Why Do Software Fail?

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Journal of Computer and Communications

ISSN Print: 2327-5219
ISSN Online: 2327-5227
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Google-based Impact Factor: 1.12
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"Software Dysfunction: Why Do Software Fail?"
written by Edward E. Ogheneovo,
published by Journal of Computer and Communications, Vol.2 No.6, 2014

has been cited by the following article(s):

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CrossRef

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[2]	EVALUATION MODEL OF THE RECOVERY PROCESSES OF NON-MARKOVIAN SYSTEMS, CONSIDERING THE ELEMENTS UNRELIABILITY UNDER ARBITRARY …
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[3]	Data Analysis and Error Analytics in Large-Scale Heterogeneous Software Systems/submitted by Dipl.-Ing. Andreas Schörgenhuber, BSc
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[8]	Quality Attributes for UX Design and Evaluation
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[9]	Evaluating the Learnability of ERP Software in Universities
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[11]	Security testing challenges of web developers in the Lagos, Nigeria IT industry.
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[12]	A New Approach to Parallel Processing
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[13]	A robustness testing approach for RESTful Web Services
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[15]	The Role of Unconscious Bias in Software Project Failures
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[16]	Diretriz para a aplicação do teste ponta a ponta em uma aplicação web
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[17]	Классификация предупреждений о программных ошибках методом динамического символьного исполнения программ
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[18]	Evaluación de competencias laborales a partir de evidencias/Using evidences for labor competencies evaluation
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[19]	Using Crash Frequency Analysis to Identify Error-Prone Software Technologies in Multi-System Monitoring
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[20]	Best Practices for Avoiding Paper Backup When Implementing Electronic Approaches to Patient-Reported Outcome Data Collection in Clinical Trials
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[21]	Evaluación de competencias laborales a partir de evidencias
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[22]	Design and Development of Security Test Case Optimization Framework.
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[23]	Causes of Failure and Breakdown of Personal Computers in Nigeria
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[24]	Design and Dev elopment of Security Test Case Optimization Framework
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[25]	Handling state space explosion in verification of component-based systems: A review
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[26]	Software Complexity and Cost Analysis
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[27]	Early Stage Software Reliability Modeling using Requirements and Object-Oriented Design Metrics: Fuzzy Logic Perspective
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[28]	User experience framework that combines aspects, dimensions, and measurement methods
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[29]	Critical Failure Factors (CFFs) of IT Projects
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[30]	Fuzzy Logic Based Software Reliability Quantification Framework: Early Stage Perspective (FLSRQF)
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[31]	Software Reliability Prediction using Fuzzy Inference System: Early Stage Perspective
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[32]	Predicting Software Defects Using Bayesian Network Approach
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[33]	Revisiting software reliability engineering with fuzzy techniques
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[34]	Model Development Guidelines for UML-RT
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[35]	Model development guidelines for UML-RT: conventions, patterns and antipatterns
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[36]	Fuzzy Logic Based Software Reliability Quantification Framework: Early Stage Perspective (FL SRQF)
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[37]	Rough Sets for Human Resource Competence Evaluation and Experiences
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[38]	SEMI-AUTOMATED TEST MODEL GENERATION
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[39]	Risk and Governance Considerations in Cloud Era
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[41]	Methods and measures for statistical fault localisation
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[42]	Towards an Integrated Framework for Software Requirements Analysis and Its Support Tool
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[43]	Refinement of Reliability by Improving Reliability Estimation Tool
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[44]	Application of the design–reality gap model to enhance high availability of systems for health care providers in nairobi, kenya
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[45]	Вероятностные модели и методы оценивания надежности программных средств с учетом вторичных дефектов
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[46]	US-Scrum: A Methodology for Developing Software with Enhanced Correctness, Usability and Security
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[47]	Pattern-based refinement of unbounded requirements
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[48]	On the Relationship between Software Complexity and Maintenance Costs
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[49]	Software Evolution: Improving the Quality and Maintainability of Software


[50]	Classification of Software Failure Incidents Using SVM

[1]	Reação dos profissionais de TI frente à resistência do usuário Revista de Gestão e Secretariado (Management and Administrative Professional Review), 2023 DOI:10.7769/gesec.v14i6.2372

[2]	Exploring the Benefits of Combining DevOps and Agile Future Internet, 2022 DOI:10.3390/fi14020063

[3]	Handling State Space Explosion in Component-Based Software Verification: A Review IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3081742

[4]	Metrics and Models for Evaluating the Quality and Effectiveness of ERP Software Advances in Systems Analysis, Software Engineering, and High Performance Computing, 2020 DOI:10.4018/978-1-5225-7678-5.ch009

[5]	Software Engineering Research, Management and Applications Studies in Computational Intelligence, 2020 DOI:10.1007/978-3-030-24344-9_6

[6]	A New Approach to Parallel Processing IEEE Access, 2020 DOI:10.1109/ACCESS.2020.2972204

[7]	sharpniZer: A C# Static Code Analysis Tool for Mission Critical Systems Advances in Science, Technology and Engineering Systems Journal, 2020 DOI:10.25046/aj050668

[8]	Using Crash Frequency Analysis to Identify Error-Prone Software Technologies in Multi-System Monitoring 2018 IEEE International Conference on Software Quality, Reliability and Security (QRS), 2018 DOI:10.1109/QRS.2018.00032

[9]	Best Practices for Avoiding Paper Backup When Implementing Electronic Approaches to Patient-Reported Outcome Data Collection in Clinical Trials Therapeutic Innovation & Regulatory Science, 2018 DOI:10.1177/2168479018785160

[10]	User experience framework that combines aspects, dimensions, and measurement methods Cogent Engineering, 2017 DOI:10.1080/23311916.2017.1421006

[11]	Fuzzy Logic Based Software Reliability Quantification Framework: Early Stage Perspective (FLSRQF) Procedia Computer Science, 2016 DOI:10.1016/j.procs.2016.06.083

[12]	Model development guidelines for UML-RT: conventions, patterns and antipatterns Software & Systems Modeling, 2016 DOI:10.1007/s10270-016-0549-6

[13]	Rough Sets for Human Resource Competence Evaluation and Experiences Applied Mathematics, 2016 DOI:10.4236/am.2016.712116

[14]	On the Relationship between Software Complexity and Maintenance Costs Journal of Computer and Communications, 2014 DOI:10.4236/jcc.2014.214001

Follow SCIRP

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	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

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