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 2020-03-01 to 2024-03-01.)
ArticleCitations
Code smell detection using multi-label classification approach30
Construction of a quality model for machine learning systems23
A public unified bug dataset for java and its assessment regarding metrics and bug prediction22
Quantum service-oriented computing: current landscape and challenges20
Data-driven and tool-supported elicitation of quality requirements in agile companies19
Transferability of machine learning models learned from public intrusion detection datasets: the CICIDS2017 case study16
MHCPDP: multi-source heterogeneous cross-project defect prediction via multi-source transfer learning and autoencoder16
A classification and systematic review of product line feature model defects13
Challenges concerning test case specifications in automotive software testing: assessment of frequency and criticality12
Model-based test case generation from UML sequence diagrams using extended finite state machines12
Availability and reliability modeling of VM migration as rejuvenation on a system under varying workload12
A preliminary analysis of self-adaptive systems according to different issues11
A hierarchical model for quantifying software security based on static analysis alerts and software metrics10
Planning-based security testing of web applications with attack grammars10
XACMET: XACML Testing & Modeling10
Classification of application reviews into software maintenance tasks using data mining techniques9
Test input generation from cause–effect graphs9
An empirical study on predictability of software maintainability using imbalanced data9
Does maintainability relate to the energy consumption of software? A case study9
Predicting technical debt from commit contents: reproduction and extension with automated feature selection8
A survey on runtime testing of dynamically adaptable and distributed systems8
An empirical study on the effect of community smells on bug prediction8
Test-driven development with mutation testing – an experimental study7
Exploratory study of the impact of project domain and size category on the detection of the God class design smell7
Empirical analysis on productivity prediction and locality for use case points method7
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 tester6
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
Copula-based software metrics aggregation5
Minimizing incident response time in real-world scenarios using quantum computing5
A longitudinal exploratory study on code smells in server side web applications5
Application of machine learning techniques to the flexible assessment and improvement of requirements quality5
MATTER: A tool for generating end-to-end IoT test scripts5
Comparison of open-source runtime testing tools for microservices5
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
An adaptive system for autonomous driving5
Learning and analysis of sensors behavior in IoT systems using statistical model checking4
Critical scenario identification for realistic testing of autonomous driving systems4
Increasing validity through replication: an illustrative TDD case4
Exposing bugs in JavaScript engines through test transplantation and differential testing4
Corrective commit probability: a measure of the effort invested in bug fixing4
Systematic analysis of automated threat modelling techniques: Comparison of open-source tools4
An autonomous performance testing framework using self-adaptive fuzzy reinforcement learning4
Continuous design control for machine learning in certified medical systems4
How consistency is handled in model-driven software engineering and UML: an expert opinion survey4
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