Track: Evidence-Based Software Quality Engineering


Software is the core of contemporary systems and its quality has then been, for the past decades, a recurrent topic that brought into existence many books, journals, standards, certification initiatives, conferences, interest groups, projects, tools, consulting companies, university courses and training initiatives.

Quality is considered as a crosscutting concern in the Software and Systems Engineering bodies of knowledge and encompasses product, processes and systems aspects, as it can be noticed in SEBoK 1.2 and SWEBOK V.3. It covers the whole development life cycle, from requirements to design, construction and testing to maintenance. Software Quality Engineering has become a de facto profession, as evidenced by ASQ’s certification scheme and associated body of knowledge.

Notwithstanding, researchers and practitioners on the field continuously propose new methods, techniques and tools at a great pace, most often with a final claim on system and software quality improvement. Unfortunately, not so often, are those new proposals presented along with some evidence of their “goodness”. Thus, our community need to increase the number of primary and secondary studies checking the conformance of software quality concerned with the claims produced by other researchers (i.e. replication studies) or investigating new quality features regarding software systems.

This thematic track is organized as part of the International Conference on the Quality of Information and Communications Technology for researchers, practitioners and educators to exchange ideas that will help exploring, understanding, and modeling the software quality phenomena based on evidence. We look for submissions on software quality that may range from primary studies (from case studies to controlled experiments, either applying quantitative or qualitative techniques) to secondary studies (from mapping studies to [quasi] systematic reviews, including meta-analysis or aggregation when possible). Novel and replication studies regarding software quality are also highly welcome. Submitted papers should provide an explicit description of the empirical strategy that was applied. We encourage the use of structured abstracts as suggested by the Information and Software Technology Journal.


  • New ideas pertaining to empirical evaluation of software engineering technologies, methods, and tools, e.g., transferring and applying empirical methods from other disciplines to empirical software engineering
  • Infrastructures and novel techniques/tools for supporting any phase of empirical studies
  • Empirical studies using qualitative, quantitative, and mixed methods
  • Cross- and multi-disciplinary methods and studies
  • Experiments and quasi-experiments
  • Case studies, action-research, and field studies
  • Survey research
  • Systematic literature reviews and mapping studies
  • Meta-analysis, qualitative and quantitative synthesis of studies
  • Replication of empirical studies and families of studies
  • Empirically-based decision making
  • Evaluation and comparison of techniques and models
  • Development and evaluation of empirical prediction systems or software estimation models
  • Mining software engineering repositories
  • Modeling, measuring, and assessing product and/or process quality
  • Simulation-based studies in software engineering
  • Assessing the benefits / costs associated with using certain development technologies
  • Industrial experience, Software project experience, and knowledge management
  • Software technology transfer to the industry


Chair: Tracy Hall , Lancaster University, UK

Program Committee:

  • Nemitari Ajienka, Nottingham Trent University, UK
  • Nathan Baddoo, Hertfordshire University, UK
  • Gül Calikli, Chalmers University of Technology, Sweden
  • Rachel Harrison, Oxford Brookes University, UK
  • Stephen MacDonell , Auckland University of Technology, New Zealand
  • Emilia Mendes, Blekinge Institute of Technology, Sweden
  • Fayola Peters, Lero – the Irish Software Research Centre, Ireland
  • Jean Petric, Lancaster University, UK
  • Ayse Tosun , Istanbul Technical University (ITU), Turkey
  • Xiaofeng Wang, Free University of Bozen-Bolzano, Italy

Tracy Hall is a Professor in Software Engineering at Lancaster University. Professor Hall’s expertise is in Software Engineering research. Over the last 20 years she has conducted many empirical software engineering studies with a variety of industrial collaborators. Her current research activities focus on software fault prediction and the development of tools for use by software engineers. She has published over 100 international peer reviewed journal and conference papers and has won numerous best paper awards. Professor Hall has been Principal Investigator on a variety of EPSRC projects. She is Associate Editor for the Information Software Technology Journal and the Software Quality Journal.