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SST 2019 : The International Workshop on Software and Systems Traceability

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Link: https://sst2019.chalmers.se/
 
When May 27, 2019 - May 27, 2019
Where Montreal
Abstract Registration Due Feb 1, 2019
Submission Deadline Feb 8, 2019
Notification Due Mar 1, 2019
Final Version Due Mar 15, 2019
Categories    software engineering   computer science   artificial intelligence   requirements engineering
 

Call For Papers

Traceability is the ability to relate different artifacts during the development and operation of a system to each other. Traceability enables program comprehension, change impact analysis, and facilitates the cooperation of engineers from different disciplines. The 10th International Workshop on Software and Systems Traceability, explores the role and impact of traceability in modern software and systems development. The event will bring together researchers and practitioners to examine the challenges of recovering, maintaining, and utilizing traceability for the myriad forms of software and systems engineering artifacts. SST’19 is intended to be a highly interactive working event focused on discussing the main problems related to software traceability and propose possible solutions for such problems.

This workshop will explore topics related to:

Theory of software and systems traceability;
Traceability between artifacts and processes;
The semantics of traceability links;
Recovery of traceability links;
Visualization of traceability links;
Traceability in model-driven development;
Traceability in domain-specific languages;
Traceability in DevOps, agile, and lean environments;
Traceability in open-source projects;
Traceability between artifacts from different engineering disciplines;
Human aspects of traceability management;
Traceability in emerging forms of software engineering including product lines, frameworks, components, services, robotics, clouds, etc.;
Traceability evaluation;
Empirical studies on traceability.

We elicit the following types of papers:

1- Research papers presenting traceability solutions, which are novel or significantly improving existing solutions.

2- Special Track position and vision papers that specifically address the role of machine learning and other artificial intelligence techniques for software and systems traceability and focus research directions such as “Develop intelligent tracing solutions” and “Adopt self-adapting solutions which are aware of the current project state and reconfigure accordingly in order to optimize the quality of trace links”[i] as well as approaches to overcome the “glass ceiling” of automated traceability with novel approaches such as semantic analysis[ii].

3- Artifact papers describe either tools that support traceability use cases or data sets that are available for benchmarking and testing.


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