Abstract
Restructuring an object-oriented software system into a component-based one allows for a better understanding of the system and facilitates its future maintenance. A component-based architecture structures a software system in terms of its components and interactions where each component refers to a set of classes. To represent the architectural interaction, each component provides a set of interfaces. Existing interface identification approaches are mostly structure-oriented rather than function-oriented. In this paper, we propose an approach to identify interfaces of a component according to the functional interaction information that is recorded in the software execution data. In addition, we also discover the contract (represented as a behavioral model) for each identified interface by using process mining techniques to help understand how each interface actually works. All proposed approaches have been implemented in the open source process mining toolkit ProM. Using a set of software execution data containing more than 650.000 method calls generated from three software systems, we evaluate our approach against three existing interface identification approaches. The empirical evaluation demonstrates that our approach can discover more functionally consistent interfaces which facilitate the reconstruction of architectural models with higher quality.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2018 ACM/IEEE 26th International Conference on Program Comprehension, ICPC 2018 |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 97-107 |
| Number of pages | 11 |
| ISBN (Print) | 978-1-4503-5714-2 |
| DOIs | |
| Publication status | Published - 28 May 2018 |
| Event | ACM/IEEE 26th International Conference on Program Comprehension, ICPC 2018, collocated with the 40th International Conference on Software Engineering, ICSE 2018 - Gothenburg, Sweden Duration: 27 May 2018 → 28 May 2018 |
Conference
| Conference | ACM/IEEE 26th International Conference on Program Comprehension, ICPC 2018, collocated with the 40th International Conference on Software Engineering, ICSE 2018 |
|---|---|
| Country | Sweden |
| City | Gothenburg |
| Period | 27/05/18 → 28/05/18 |
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Keywords
- empirical evaluation
- interface behavioral model
- interface identification
- process mining
- software execution data
Cite this
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Component interface identification and behavioral model discovery from software execution data. / Liu, Cong; van Dongen, Boudewijn; Assy, Nour; van der Aalst, Wil M.P.
Proceedings - 2018 ACM/IEEE 26th International Conference on Program Comprehension, ICPC 2018. New York : Association for Computing Machinery, Inc, 2018. p. 97-107.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Component interface identification and behavioral model discovery from software execution data
AU - Liu, Cong
AU - van Dongen, Boudewijn
AU - Assy, Nour
AU - van der Aalst, Wil M.P.
PY - 2018/5/28
Y1 - 2018/5/28
N2 - Restructuring an object-oriented software system into a component-based one allows for a better understanding of the system and facilitates its future maintenance. A component-based architecture structures a software system in terms of its components and interactions where each component refers to a set of classes. To represent the architectural interaction, each component provides a set of interfaces. Existing interface identification approaches are mostly structure-oriented rather than function-oriented. In this paper, we propose an approach to identify interfaces of a component according to the functional interaction information that is recorded in the software execution data. In addition, we also discover the contract (represented as a behavioral model) for each identified interface by using process mining techniques to help understand how each interface actually works. All proposed approaches have been implemented in the open source process mining toolkit ProM. Using a set of software execution data containing more than 650.000 method calls generated from three software systems, we evaluate our approach against three existing interface identification approaches. The empirical evaluation demonstrates that our approach can discover more functionally consistent interfaces which facilitate the reconstruction of architectural models with higher quality.
AB - Restructuring an object-oriented software system into a component-based one allows for a better understanding of the system and facilitates its future maintenance. A component-based architecture structures a software system in terms of its components and interactions where each component refers to a set of classes. To represent the architectural interaction, each component provides a set of interfaces. Existing interface identification approaches are mostly structure-oriented rather than function-oriented. In this paper, we propose an approach to identify interfaces of a component according to the functional interaction information that is recorded in the software execution data. In addition, we also discover the contract (represented as a behavioral model) for each identified interface by using process mining techniques to help understand how each interface actually works. All proposed approaches have been implemented in the open source process mining toolkit ProM. Using a set of software execution data containing more than 650.000 method calls generated from three software systems, we evaluate our approach against three existing interface identification approaches. The empirical evaluation demonstrates that our approach can discover more functionally consistent interfaces which facilitate the reconstruction of architectural models with higher quality.
KW - empirical evaluation
KW - interface behavioral model
KW - interface identification
KW - process mining
KW - software execution data
UR - http://www.scopus.com/inward/record.url?scp=85051638646&partnerID=8YFLogxK
U2 - 10.1145/3196321.3196338
DO - 10.1145/3196321.3196338
M3 - Conference contribution
AN - SCOPUS:85051638646
SN - 978-1-4503-5714-2
SP - 97
EP - 107
BT - Proceedings - 2018 ACM/IEEE 26th International Conference on Program Comprehension, ICPC 2018
PB - Association for Computing Machinery, Inc
CY - New York
ER -