Towards an Extensible Architecture for an Empirical Software Engineering Computational Platform

[1]  Iaron da Costa Araújo,et al.  ARRESTT: A framework to create reproducible experiments to evaluate software testing techniques , 2016, SAST.

[2]  Marco Scotto,et al.  A non-invasive approach to product metrics collection , 2006, J. Syst. Archit..

[3]  Claes Wohlin,et al.  Experimentation in Software Engineering , 2012, Springer Berlin Heidelberg.

[4]  Uirá Kulesza,et al.  A Model-Driven Approach to Specifying and Monitoring Controlled Experiments in Software Engineering , 2013, PROFES.

[5]  Amela Karahasanovic,et al.  A survey of controlled experiments in software engineering , 2005, IEEE Transactions on Software Engineering.

[6]  Maria Teresa Baldassarre,et al.  A Comparative Study of Model-Driven Approaches For Scoping and Planning Experiments , 2017, EASE.

[7]  Eduardo Martins Guerra,et al.  Software Visualization Tool for Evaluating API Usage in the Context of Software Ecosystems: A Proof of Concept , 2020, ICCSA.

[8]  Ken-ichi Matsumoto,et al.  Ginger2: An Environment for Computer-Aided Empirical Software Engineering , 1999, IEEE Trans. Software Eng..

[9]  Ray Welland,et al.  Collecting Feedback during Software Engineering Experiments , 2005, Empirical Software Engineering.

[10]  Ruth Breu,et al.  An integrated tool environment for experimentation in domain specific language engineering , 2016, EASE.

[11]  Kathryn T. Stolee,et al.  Exploring the use of crowdsourcing to support empirical studies in software engineering , 2010, ESEM '10.

[12]  Alberto Sillitti,et al.  Towards Non-invasive Software Measurement System: Architecture and Implementation , 2016, SEDA.

[13]  Dietmar Pfahl,et al.  Reporting Experiments in Software Engineering , 2008, Guide to Advanced Empirical Software Engineering.

[14]  Fabiano Cutigi Ferrari,et al.  The impact of Software Testing education on code reliability: An empirical assessment , 2017, J. Syst. Softw..