Machine Learning Techniques for Software Quality Evaluation
in Special Issue Posted on June 15, 2019Information for the Special Issue
Submission Deadline: | Fri 15 Nov 2019 |
Journal Impact Factor : | 2.450 |
Journal Name : | Journal of Systems and Software |
Journal Publisher: |
![]() |
Website for the Special Issue: | https://www.journals.elsevier.com/journal-of-systems-and-software/call-for-papers/machine-learning-techniques-for-software-quality-evaluation |
Journal & Submission Website: | https://www.journals.elsevier.com/journal-of-systems-and-software |
Special Issue Call for Papers:
The assessment of software quality is one of the most multifaceted (e.g., structural quality, product quality, process quality, etc.) and subjective aspects of software engineering (since in many cases it is substantially based on expert judgement). Such assessments can be performed at almost all phases of software development (from project inception to maintenance) and at different levels of granularity (from source code to architecture). However, human judgment is: (a) inherently biased by implicit, subjective criteria applied in the evaluation process, and (b) its economical effectiveness is limited compared to automated or semiautomated approaches. To this end, researchers are still looking for new, more effective methods of assessing various qualitative characteristics of software systems and the related processes. In recent years, we have been observing a rising interest in adopting various approaches to exploiting machine learning (ML) and automated decision-making processes in several areas of software engineering. These models and algorithms help to reduce effort and risk related to human judgment in favour of automated systems, which are able to make informed decisions based on available data and evaluated with objective criteria. Thus, the adoption of machine learning techniques seems to be one of the most promising ways to improve software quality evaluation. Conversely, learning capabilities are increasingly often embedded within software, including in critical domains such as automotive and health. This calls for the application of quality assurance techniques
to ensure the reliable engineering of ML-based software systems.
As such, the special issue invites submissions on new and innovative research results and industrial experience papers in the area of machine learning applications for software quality evaluation. We especially encourage submission of extended papers from the 3rd International Workshop on Machine Learning Techniques for Software Quality Evaluation (MaLTeSQuE 2019). Submissions could deal with all aspects of the problem, including, but not limited to, the following topics of interest:
• Application of machine-learning in software quality evaluation,
• Analysis of multi-source data,
• Knowledge acquisition from software repositories,
• Adoption and validation of machine learning models and algorithms in software quality,
• Decision support and analysis in software quality,
• Prediction models to support software quality evaluation,
• Validation and verification of learning systems,
• Automated machine learning,
• Design of safety-critical learning software,
• Integration of learning systems in software ecosystems.
Important dates.
Submission Deadline: 15 November 2019.
Initial Author Notification: 21 February 2020.
Initial Author Revision Due: 22 May 2020.
Final Author Notification 26 August 2020.
Final Manuscript Submission: 10 September 2020.
Submission guidelines.
All submitted papers will undergo a rigorous peer-review process and should adhere to the general principles of the Journal of Systems and Software articles. Submissions have to be prepared according to the Guide for Authors in http://ees.elsevier.com/jss. Submitted papers must be original, must not have been previously published or be under consideration for publication elsewhere. In case a paper has been already presented at a conference, it should be extended by at least 30% new material, before submitted for this special issue.
Authors must provide any previously published material relevant to their submission and describe the additions made.
Editors in Chief.
Paris Avgeriou
David Shepherd
Special Issue Editor.
W.K. Chan
Guest Editors.
Fabio Palomba, University of Zurich (Switzerland), palomba@ifi.uzh.ch (corresponding editor)
Mathieu Acher, University of Rennes / INRIA (France), mathieu.acher@irisa.fr
Bartosz Walter, Poznan University of Technology (Poland), bartek@walterowie.pl
Maxime Cordy, University of Luxembourg (Luxembourg), maxime.cordy@uni.lu
Decisions.
The guest editors together with the Editors-in-Chief and the Special Issues Editor will make final decisions.
Other Special Issues on this journal
![]() |
|
Source Code Analysis and ManipulationJournal of Systems and Software |
Fri 05 Mar 2021 |
![]() |
|
Test Automation: Trends, Benefits, and CostsJournal of Systems and Software |
Wed 31 Mar 2021 |
![]() |
|
Architecting for the Digital SocietyJournal of Systems and Software |
Sat 15 Jan 2022 |
Closed Special Issues
![]() |
|
Recent Trends in Engineering Software-Intensive SystemsJournal of Systems and Software |
Mon 21 Dec 2020 |
![]() |
|
Software Architecture and Artificial IntelligenceJournal of Systems and Software |
Mon 09 Nov 2020 |
![]() |
|
Metamorphic TestingJournal of Systems and Software |
Fri 30 Oct 2020 |
![]() |
|
Software ClonesJournal of Systems and Software |
Wed 15 Jul 2020 |
![]() |
|
Software-Intensive Autonomous Systems: methods and applicationsJournal of Systems and Software |
Wed 01 Jul 2020 |
![]() |
|
New Generation of Bug FixingJournal of Systems and Software |
Wed 15 Apr 2020 |
![]() |
|
Source Code Analysis and ManipulationJournal of Systems and Software |
Mon 02 Dec 2019 |
![]() |
|
Software and Systems Reuse in the Big Data EraJournal of Systems and Software |
Thu 24 Oct 2019 |
![]() |
|
Software Engineering for Trustworthy Cyber-Physical SystemsJournal of Systems and Software |
Tue 15 Oct 2019 |
![]() |
|
Global Software Engineering: Challenges and SolutionsJournal of Systems and Software |
Mon 30 Sep 2019 |
![]() |
|
Intelligent Software EngineeringJournal of Systems and Software |
Mon 16 Sep 2019 |
![]() |
|
Software Quality, Reliability, and SecurityJournal of Systems and Software |
Sun 15 Sep 2019 |
![]() |
|
Software ArchitectureJournal of Systems and Software |
Sat 31 Mar 2018 |
![]() |
|
Software Engineering Education and TrainingJournal of Systems and Software |
Fri 22 Dec 2017 |
![]() |
|
Quality Engineering and Management of Software-Intensive SystemsJournal of Systems and Software |
Tue 31 Oct 2017 |
![]() |
|
Software ReuseJournal of Systems and Software |
Mon 09 Oct 2017 |
![]() |
|
Evaluation and Assessment in Software EngineeringJournal of Systems and Software |
Sat 30 Sep 2017 |
![]() |
|
Architecting Autonomous and Smart SystemsJournal of Systems and Software |
Fri 15 Sep 2017 |
![]() |
|
Software Verification and TestingJournal of Systems and Software |
Fri 15 Jul 2016 |
![]() |
|
Software Engineering Technology and Applications for Emerging Application DomainsJournal of Systems and Software |
Sun 01 Nov 2015 |
![]() |
|
Special Issue on Software ReuseJournal of Systems and Software |
Sat 03 Oct 2015 |