1 research outputs found
A systematic literature review on process model testing: Approaches, challenges, and research directions
Testing is a key concern when developing process-oriented solutions as it
supports modeling experts who have to deal with increasingly complex models and
scenarios such as cross-organizational processes. However, the complexity of
the research landscape and the diverse set of approaches and goals impedes the
analysis and advancement of research and the identification of promising
research areas, challenges, and research directions. Hence, a systematic
literature review is conducted to identify interesting areas for future
research and to provide an overview of existing work. Over 6300 potentially
matching publications were determined during the search (literature databases,
selected conferences\journals, and snowballing). Finally, 153 publications from
2002 to 2013 were selected, analyzed, and classified. It was found that the
software engineering domain has influenced process model testing approaches
(e.g., regarding terminology and concepts), but recent publications are
presenting independent approaches. Additionally, historical data sources are
not exploited to their full potential and current testing related publications
frequently contain evaluations of relatively weak quality. Overall, the
publication landscape is unevenly distributed so that over 31 publications
concentrate on test-case generation but only 4 publications conduct performance
test. Hence, the full potential of such insufficiently covered testing areas is
not exploited. This systematic review provides a comprehensive overview of the
interdisciplinary topic of process model testing. Several open research
questions are identified, for example, how to apply testing to
cross-organizational or legacy processes and how to adequately include users
into the testing methods