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ASE 2020
Mon 21 - Fri 25 September 2020 Melbourne, Australia
Wed 23 Sep 2020 09:10 - 09:30 at Wombat - AI for Software Engineering (3) Chair(s): Artur Andrzejak

Background: The detection and extraction of causality from natural language sentences have shown great potential in various fields of application. The field of requirements engineering is eligible for multiple reasons: (1) requirements artifacts are primarily written in natural language, (2) causal sentences convey essential context about the subject of requirements, and (3) extracted and formalized causality relations are usable for a (semi-)automatic translation into further artifacts, such as test cases. Objective: We aim at understanding the value of interactive causality extraction based on syntactic criteria for the context of requirements engineering. Method: We developed a prototype of a system for automatic causality extraction and evaluate it by applying it to a set of publicly avail-able requirements artifacts, determining whether the automatic extraction reduces the manual effort of requirements formalization. Result: During the evaluation, we analyzed 2373 natural language sentences from 13 requirements documents, 282 of which were causal (11.88%). The best evaluation of a requirements document provided an automatic extraction of 7.2 of 14 cause-effect graphs on average (51.42%), which demonstrates the feasibility of the approach. Limitation: The feasibility of the approach has been proven in theory but actual human interaction with the system has been disregarded so far. Evaluating the applicability of the automatic causality ex-traction for a requirements engineer is left for future research. Conclusion: A syntactic approach for causality extraction is viable for the context of requirements engineering and can aid a pipeline towards an automatic generation of further artifacts, like test cases, from requirements artifacts.

Wed 23 Sep

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09:10 - 10:10
AI for Software Engineering (3)Research Papers at Wombat
Chair(s): Artur Andrzejak Heidelberg University
09:10
20m
Talk
Automatic Extraction of Cause-Effect-Relations from Requirements Artifacts
Research Papers
Julian Frattini Blekinge Institute of Technology, Maximilian Junker Technische Universit├Ąt Muenchen, Michael Unterkalmsteiner Blekinge Institute of Technology, Daniel Mendez Blekinge Institute of Technology
09:30
20m
Talk
BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction
Research Papers
Ke Li University of Exeter, Zilin Xiang University of Electronic Science and Technology of China, Tao Chen Loughborough University, Kay Chen Tan City University of Hong Kong
Pre-print
09:50
20m
Talk
Automating Just-In-Time Comment UpdatingACM Distinguished Paper
Research Papers
Zhongxin Liu Zhejiang University, Xin Xia Monash University, Meng Yan Chongqing University, Shanping Li Zhejiang University
Pre-print