NDLI: Does aspect-oriented modeling help improve the readability of UML state machines?

Content Provider	Springer Nature Link
Author	Ali, Shaukat Yue, Tao Briand, Lionel C.
Copyright Year	2012
Abstract	Aspect-oriented modeling (AOM) is a relatively recent and very active field of research, whose application has, however, been limited in practice. AOM is assumed to yield several potential benefits such as enhanced modularization, easier evolution, increased reusability, and improved readability of models, as well as reduced modeling effort. However, credible, solid empirical evidence of such benefits is lacking. We evaluate the “readability” of state machines when modeling crosscutting behavior using AOM and more specifically AspectSM, a recently published UML profile. This profile extends the UML state machine notation with mechanisms to define aspects using state machines. Readability is indirectly measured through defect identification and fixing rates in state machines, and the scores obtained when answering a comprehension questionnaire about the system behavior. With AspectSM, crosscutting behavior is modeled using so-called “aspect state machines”. Their readability is compared with that of system state machines directly modeling crosscutting and standard behavior together. An initial controlled experiment and a much larger replication were conducted with trained graduate students, in two different institutions and countries, to achieve the above objective. We use two baselines of comparisons—standard UML state machines without hierarchical features (flat state machines) and standard state machines with hierarchical/concurrent features (hierarchical state machines). The results showed that defect identification and fixing rates are significantly better with AspectSM than with both flat and hierarchical state machines. However, in terms of comprehension scores and inspection effort, no significant difference was observed between any of the approaches. Results of the experiments suggest that one should use, when possible, aspect state machines along with hierarchical and/or concurrent features of UML state machines to model crosscutting behaviors.
Starting Page	1189
Ending Page	1221
Page Count	33
File Format	PDF
ISSN	16191366
Journal	Software and Systems Modeling
Volume Number	13
Issue Number	3
e-ISSN	16191374
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2012-11-16
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Aspect-oriented modeling UML state machines Controlled experiment Defect identification and fixing Comprehension Software Engineering/Programming and Operating Systems Programming Techniques Software Engineering Programming Languages, Compilers, Interpreters Information Systems Applications (incl. Internet) Business Information Systems
Content Type	Text
Resource Type	Article
Subject	Modeling and Simulation Software

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