Submissions

We invite submissions to the following tracks related to the topics of interest of the conference.

  • Technical Papers
  • Industry Papers
  • Emerging Results and Vision Papers
  • Journal-First Papers

ESEM 2020 will employ a double-blind review process. Thus, regular submissions may not reveal its authors’ identities. Find detailed submission information on our page: How to Submit 

 

General Scope of Submissions

Work submitted must fit within the specific scope of each track, as detailed below. Submissions in all tracks should not be under consideration for publication or presentation elsewhere.

In addition to the specific scope of each track, submissions may address any aspect of software engineering but must tackle the problem from an empirical perspective and using a rigorous empirical method, including:

  • Empirical studies using qualitative, quantitative, and mixed methods
  • Cross- and multi-disciplinary methods and studies
  • Experiments and quasi-experiments
  • Case studies, action research, ethnography and field studies
  • Survey research
  • Simulation
  • Artifact studies
  • Data mining, machine learning, and AI-based approaches
  • Secondary and tertiary studies including
    • Systematic literature reviews that include a strong synthesis part
    • Meta-analysis, qualitative and quantitative synthesis of studies
  • Replication of empirical studies and families of studies

Topics commonly addressed using an empirical approach include, but are not limited to:

  • Evaluation and comparison of software technologies
  • Evaluation and comparison of software development methods, techniques, and practices
  • Modeling, measuring, and assessing product and/or process quality
  • Modeling, measuring, and assessing software development productivity
  • Defect and quality prediction
  • Software cost and size estimation
  • Software evolution
  • Software verification and validation, including analysis and testing
  • Evaluation and modeling of contemporary software systems (IoT, Industry 4.0, Context-Awareness Systems, Cyber-physical, among others)
  • Human factors, teamwork, and behavioral aspects of software engineering

We welcome submissions on these meta-topics:

  • Development, evaluation, and comparison of empirical approaches and methods
  • Infrastructure for conducting empirical studies
  • Techniques and tools for supporting empirical studies
  • Empirically-based decision making

We also welcome submissions that:

  • demonstrate multi-disciplinary work,
  • transfer and apply empirical methods from other disciplines,
  • replication studies, and
  • studies with negative findings.