ProMeTA: A Taxonomy for Program Metamodels in Program Reverse Engineering. Washizaki, H., Khomh, F., & Gu�h�neuc, Y. Empirical Software Engineering (EMSE), 23(4):2323–2358, Springer, August, 2018. 35 pages. \awardBest paper of JIPS'19.
Paper abstract bibtex To support program comprehension, maintenance, and evolution, metamodels are frequently used during program reverse engineering activities to describe and analyze constituents of a program and their relations. Reverse engineering tools often define their own metamodels according to the intended purposes and features. Although each metamodel has its own advantages, its limitations may be addressed by other metamodels. Existing works have evaluated and compared metamodels and tools, but none have considered all the possible characteristics and limitations to provide a comprehensive guideline for classifying, comparing, reusing, and extending program metamodels. To aid practitioners and researchers in classifying, comparing, reusing, and extending program metamodels and their corresponding reverse engineering tools according to the intended goals, we establish a conceptual framework with definitions of program metamodels and related concepts. We confirmed that any reverse engineering activity can be clearly described as a pattern based on the framework from the viewpoint of program metamodels. Then the framework is used to provide a comprehensive taxonomy, named Program Metamodel TAxonomy (ProMeTA), which incorporates newly identified characteristics into those stated in previous works, which were identified via a systematic literature review (SLR) on program metamodels, while keeping the orthogonality of the entire taxonomy. Additionally, we validate the taxonomy in terms of its orthogonality and usefulness through the classification of popular metamodels.
@ARTICLE{Washizaki17-EMSE-PROMETA,
AUTHOR = {Hironori Washizaki and Foutse Khomh and
Yann-Ga�l Gu�h�neuc},
JOURNAL = {Empirical Software Engineering (EMSE)},
TITLE = {ProMeTA: A Taxonomy for Program Metamodels in Program
Reverse Engineering},
YEAR = {2018},
MONTH = {August},
NOTE = {35 pages. \awardBest paper of JIPS'19.},
NUMBER = {4},
PAGES = {2323--2358},
VOLUME = {23},
EDITOR = {Bram Adams and Denys Poshyvanyk},
KEYWORDS = {Topic: <b>Program comprehension</b>, Venue: <b>EMSE</b>},
PUBLISHER = {Springer},
URL = {http://www.ptidej.net/publications/documents/EMSE18a.doc.pdf},
ABSTRACT = {To support program comprehension, maintenance, and
evolution, metamodels are frequently used during program reverse
engineering activities to describe and analyze constituents of a
program and their relations. Reverse engineering tools often define
their own metamodels according to the intended purposes and features.
Although each metamodel has its own advantages, its limitations may
be addressed by other metamodels. Existing works have evaluated and
compared metamodels and tools, but none have considered all the
possible characteristics and limitations to provide a comprehensive
guideline for classifying, comparing, reusing, and extending program
metamodels. To aid practitioners and researchers in classifying,
comparing, reusing, and extending program metamodels and their
corresponding reverse engineering tools according to the intended
goals, we establish a conceptual framework with definitions of
program metamodels and related concepts. We confirmed that any
reverse engineering activity can be clearly described as a pattern
based on the framework from the viewpoint of program metamodels. Then
the framework is used to provide a comprehensive taxonomy, named
Program Metamodel TAxonomy (ProMeTA), which incorporates newly
identified characteristics into those stated in previous works, which
were identified via a systematic literature review (SLR) on program
metamodels, while keeping the orthogonality of the entire taxonomy.
Additionally, we validate the taxonomy in terms of its orthogonality
and usefulness through the classification of popular metamodels.}
}
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Then the framework is used to provide a comprehensive taxonomy, named Program Metamodel TAxonomy (ProMeTA), which incorporates newly identified characteristics into those stated in previous works, which were identified via a systematic literature review (SLR) on program metamodels, while keeping the orthogonality of the entire taxonomy. 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