SCAN: an Approach to Label and Relate Execution Trace Segments. Medini, S., Antoniol, G., Gu�h�neuc, Y., Di Penta, M., & Tonella, P. In Oliveto, R. & Poshyvanyk, D., editors, Proceedings of the 19<sup>th</sup> Working Conference on Reverse Engineering (WCRE), pages 135–144, October, 2012. IEEE CS Press. 10 pages. \awardBest paper.
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Paper abstract bibtex
Paper abstract bibtex Identifying concepts in execution traces is a task often necessary to support program comprehension or maintenance activities. Several approaches—static, dynamic or hybrid—have been proposed to identify cohesive, meaningful sequence of methods in execution traces. However, none of the proposed approaches is able to label such segments and to identify relations identified in other segments of the same trace This paper present SCAN (Segment Concept AssigNer) an approach to assign labels to sequences of methods in execution traces, and to identify relations between such segments. SCAN uses information retrieval methods and formal concept analysis to produce sets of words helping the developer to understand the concept implemented by a segment. Specifically, formal concept analysis allows SCAN to discover commonalities between segments in different trace areas, as well as terms more specific to a given segment and higher level relation between segments. The paper describes SCAN along with a preliminary manual validation—upon execution traces collected from usage scenarios of JHotDraw and ArgoUML—of SCAN accuracy in assigning labels representative of concepts implemented by trace segments.
@INPROCEEDINGS{Medini12-WCRE-SCAN,
AUTHOR = {Soumaya Medini and Giuliano Antoniol and
Yann-Ga�l Gu�h�neuc and Di Penta, Massimiliano and Paolo Tonella},
BOOKTITLE = {Proceedings of the 19<sup>th</sup> Working Conference on Reverse Engineering (WCRE)},
TITLE = {SCAN: an Approach to Label and Relate Execution Trace
Segments},
YEAR = {2012},
OPTADDRESS = {},
OPTCROSSREF = {},
EDITOR = {Rocco Oliveto and Denys Poshyvanyk},
MONTH = {October},
NOTE = {10 pages. \awardBest paper.},
OPTNUMBER = {},
OPTORGANIZATION = {},
PAGES = {135--144},
PUBLISHER = {IEEE CS Press},
OPTSERIES = {},
OPTVOLUME = {},
KEYWORDS = {Topic: <b>Requirements and features</b>,
Venue: <c>WCRE</c>},
URL = {http://www.ptidej.net/publications/documents/WCRE12c.doc.pdf},
PDF = {http://www.ptidej.net/publications/documents/WCRE12c.ppt.pdf},
ABSTRACT = {Identifying concepts in execution traces is a task often
necessary to support program comprehension or maintenance activities.
Several approaches---static, dynamic or hybrid---have been proposed
to identify cohesive, meaningful sequence of methods in execution
traces. However, none of the proposed approaches is able to label
such segments and to identify relations identified in other segments
of the same trace This paper present SCAN (Segment Concept AssigNer)
an approach to assign labels to sequences of methods in execution
traces, and to identify relations between such segments. SCAN uses
information retrieval methods and formal concept analysis to produce
sets of words helping the developer to understand the concept
implemented by a segment. Specifically, formal concept analysis
allows SCAN to discover commonalities between segments in different
trace areas, as well as terms more specific to a given segment and
higher level relation between segments. The paper describes SCAN
along with a preliminary manual validation---upon execution traces
collected from usage scenarios of JHotDraw and ArgoUML---of SCAN
accuracy in assigning labels representative of concepts implemented
by trace segments.}
}Downloads: 0
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