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S. Biffl, M. Kalinowski, F. Ekaputra, E. Serral Asensio, D. Winkler:
"Building Empirical Software Engineering Bodies of Knowledge with Systematic Knowledge Engineering";
Vortrag: 26th International Conference on Software Engineering and Knowledge Engineering (SEKE 2014), Vancouver, Canada; 01.07.2014 - 02.07.2014; in: "Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering (SEKE)", Knowledge Systems Institute Graduate School, (2014), ISBN: 1-891706-35-7; S. 552 - 559.

Abstract-[Context] Empirical software engineering (EMSE) researchers
conduct systematic literature reviews (SLRs) to build
bodies of knowledge (BoKs). Unfortunately, valuable knowledge
collected in the SLR process is publicly available only to a limited
extent, which considerably slows down building BoKs incrementally.
[Objective] In this paper, we introduce the Systematic
Knowledge Engineering (SKE) process to support building up
BoKs from empirical studies efficiently. [Method] SKE is based on
the SLR process and on Knowledge Engineering (KE) practices to
provide a Knowledge Base (KB) with semantic technologies that
enable reusing intermediate data extraction results and querying
of empirical evidence. We evaluated SKE by building a software
inspection EMSE BoK KB from knowledge acquired by controlled
experiments. We elicited relevant queries from EMSE researchers
and systematically integrated information from 30 representative
research papers into the KB. [Results] The resulting KB was effective
in answering the queries, enabling knowledge reuse for analyses
beyond the results from the SLR process. [Conclusion] SKE
showed promising results in the software inspection context and
should be evaluated in other contexts for building EMSE BoKs
faster.

Empirical software engineering, systematic knowledge engineering, systematic review, software inspection