Software Quality Journal

Papers
(The TQCC of Software Quality Journal is 5. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Construction of a quality model for machine learning systems33
Quantum service-oriented computing: current landscape and challenges31
Transferability of machine learning models learned from public intrusion detection datasets: the CICIDS2017 case study21
MHCPDP: multi-source heterogeneous cross-project defect prediction via multi-source transfer learning and autoencoder20
Challenges concerning test case specifications in automotive software testing: assessment of frequency and criticality15
A hierarchical model for quantifying software security based on static analysis alerts and software metrics14
Model-based test case generation from UML sequence diagrams using extended finite state machines14
Does maintainability relate to the energy consumption of software? A case study13
Exploratory study of the impact of project domain and size category on the detection of the God class design smell11
A longitudinal exploratory study on code smells in server side web applications10
A survey on runtime testing of dynamically adaptable and distributed systems9
Minimizing incident response time in real-world scenarios using quantum computing9
Ergo, SMIRK is safe: a safety case for a machine learning component in a pedestrian automatic emergency brake system9
An empirical study on the effect of community smells on bug prediction9
Test input generation from cause–effect graphs9
Machine learning techniques for software testing effort prediction9
Critical scenario identification for realistic testing of autonomous driving systems8
Empirical analysis on productivity prediction and locality for use case points method8
Test-driven development with mutation testing – an experimental study8
Continuous design control for machine learning in certified medical systems8
Scrum for safety: an agile methodology for safety-critical software systems7
MATTER: A tool for generating end-to-end IoT test scripts7
Exploring human factors of the agile software tester7
Systematic analysis of automated threat modelling techniques: Comparison of open-source tools7
Ontology-based metamorphic testing for chatbots7
Technological diversity of quantum computing providers: a comparative study and a proposal for API Gateway integration6
Comparison of open-source runtime testing tools for microservices6
An empirical evaluation of defect prediction approaches in within-project and cross-project context6
Codes of conduct in Open Source Software—for warm and fuzzy feelings or equality in community?6
How consistency is handled in model-driven software engineering and UML: an expert opinion survey6
Copula-based software metrics aggregation6
A decision analysis approach for selecting software defect prediction method in the early phases6
Exposing bugs in JavaScript engines through test transplantation and differential testing5
A new method for detecting various variants of GoF design patterns using conceptual signatures5
Toward prioritization of self-admitted technical debt: an approach to support decision to payment5
TestDCat 3.0: catalog of test debt subtypes and management activities5
Software fault prediction using deep learning techniques5
Machine learning application development: practitioners’ insights5
Corrective commit probability: a measure of the effort invested in bug fixing5
Learning and analysis of sensors behavior in IoT systems using statistical model checking5
Scrum metaprocess: a process line approach for customizing Scrum5
Comparative study of machine learning test case prioritization for continuous integration testing5
0.033677101135254