Software Quality Journal

Papers
(The TQCC of Software Quality Journal is 4. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Construction of a quality model for machine learning systems24
Quantum service-oriented computing: current landscape and challenges23
A public unified bug dataset for java and its assessment regarding metrics and bug prediction22
Transferability of machine learning models learned from public intrusion detection datasets: the CICIDS2017 case study17
MHCPDP: multi-source heterogeneous cross-project defect prediction via multi-source transfer learning and autoencoder17
Challenges concerning test case specifications in automotive software testing: assessment of frequency and criticality14
A classification and systematic review of product line feature model defects13
Model-based test case generation from UML sequence diagrams using extended finite state machines12
Classification of application reviews into software maintenance tasks using data mining techniques10
A hierarchical model for quantifying software security based on static analysis alerts and software metrics10
Does maintainability relate to the energy consumption of software? A case study9
Test input generation from cause–effect graphs9
An empirical study on predictability of software maintainability using imbalanced data9
An empirical study on the effect of community smells on bug prediction9
Exploratory study of the impact of project domain and size category on the detection of the God class design smell8
A survey on runtime testing of dynamically adaptable and distributed systems8
Predicting technical debt from commit contents: reproduction and extension with automated feature selection8
Test case generation based on mutations over user execution traces7
Machine learning techniques for software testing effort prediction7
Exploring human factors of the agile software tester7
Test-driven development with mutation testing – an experimental study7
Empirical analysis on productivity prediction and locality for use case points method7
Scrum for safety: an agile methodology for safety-critical software systems6
Codes of conduct in Open Source Software—for warm and fuzzy feelings or equality in community?6
Two experiments for evaluating the impact of Hamcrest and AssertJ on assertion development6
A longitudinal exploratory study on code smells in server side web applications6
Copula-based software metrics aggregation6
Minimizing incident response time in real-world scenarios using quantum computing6
MATTER: A tool for generating end-to-end IoT test scripts5
An adaptive system for autonomous driving5
Exposing bugs in JavaScript engines through test transplantation and differential testing5
Toward prioritization of self-admitted technical debt: an approach to support decision to payment5
Comparison of open-source runtime testing tools for microservices5
A new method for detecting various variants of GoF design patterns using conceptual signatures5
Continuous design control for machine learning in certified medical systems5
Ergo, SMIRK is safe: a safety case for a machine learning component in a pedestrian automatic emergency brake system4
Scrum metaprocess: a process line approach for customizing Scrum4
Measuring data credibility and medical coding: a case study using a nationwide Portuguese inpatient database4
Building an open-source system test generation tool: lessons learned and empirical analyses with EvoMaster4
An autonomous performance testing framework using self-adaptive fuzzy reinforcement learning4
A decision analysis approach for selecting software defect prediction method in the early phases4
Systematic analysis of automated threat modelling techniques: Comparison of open-source tools4
Learning and analysis of sensors behavior in IoT systems using statistical model checking4
Critical scenario identification for realistic testing of autonomous driving systems4
Corrective commit probability: a measure of the effort invested in bug fixing4
How consistency is handled in model-driven software engineering and UML: an expert opinion survey4
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