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ICSE 2020
Wed 24 June - Thu 16 July 2020
Wed 8 Jul 2020 15:12 - 15:24 at Silla - A9-Traceability Chair(s): Andrea Zisman

Test-to-code traceability links model the relationships between test artefacts and code artefacts. When utilised during the development process, these links help developers to keep test code in sync with tested code, reducing the rate of test failures and missed faults. Test-to-code traceability links can also help developers to maintain an accurate mental model of the system, reducing the risk of architectural degradation when making changes. However, establishing and maintaining these links manually places an extra burden on developers and is error-prone. This paper presents TCtracer, an approach and implementation for the automatic establishment of test-to-code traceability links. Unlike existing work, TCtracer operates at both the method level and the class level, allowing us to establish links between tests and functions, as well as between test classes and tested classes. We improve over existing techniques by combining an ensemble of new and existing techniques and exploiting a synergistic flow of information between the method and class levels. We perform an evaluation of TCtracer using four large, well-studied open source systems which demonstrates that, on average, we can establish test-to-function links with a mean average precision (MAP) of 78% and test-class-to-class links with an MAP of 93%.

Wed 8 Jul

Displayed time zone: (UTC) Coordinated Universal Time change

15:00 - 16:00
A Novel Approach to Tracing Safety Requirements and State-Based Design ModelsTechnical
Technical Papers
Mounifah Alenazi University of Cincinnati, Nan Niu University of Cincinnati, Juha Savolainen Danfoss
Establishing Multilevel Test-to-Code Traceability LinksArtifact ReusableTechnicalArtifact Available
Technical Papers
Robert White University College London, UK, Jens Krinke University College London, Raymond Tan University College London
Synthesis of Assurance Cases for Software CertificationNIER
New Ideas and Emerging Results
Hamid Bagheri University of Nebraska-Lincoln, USA, Eunsuk Kang Carnegie Mellon University, Niloofar Mansoor University of Nebraska - Lincoln
TimeTracer: A Tool for Back in Time Traceability ReplayingDemo
Christoph Mayr-Dorn Johannes Kepler University Linz, Michael Vierhauser Johannes Kepler University Linz, Felix Keplinger Johannes Kepler University, Linz, Stefan Bichler Johannes Kepler University, Linz, Alexander Egyed Johannes Kepler University, Linz
Lack of Adoption of Units of Measurement Libraries: Survey and AnecdotesSEIP
Software Engineering in Practice
Steve McKeever Department of Informatics and Media, Uppsala University, Sweden, Omar-Alfred Salah Department of Informatics and Media, Uppsala University, Sweden
Improving the Effectiveness of Traceability Link Recovery using Hierarchical Bayesian NetworksTechnical
Technical Papers
Kevin Moran William & Mary/George Mason University, David Nader Palacio William & Mary, Carlos Bernal-Cárdenas William and Mary, Denys Poshyvanyk William and Mary, Daniel McCrystal William & Mary, Chris Shenefiel Cisco Systems, Jeff Johnson Cisco Systems
Pre-print Media Attached