Conference proceeding
2nd workshop on assessment of contemporary modularization techniques (ACoM 2008)
Companion to the 23rd ACM SIGPLAN conference on object-oriented programming systems languages and applications, pp 839-842
19 Oct 2008
Abstract
A variety of new modularization techniques is emerging to cope with the challenges of contemporary software engineering, such as Aspect-Oriented Software Development (AOSD), Feature-Oriented Programming (FOP), and the like. The effective assessment of such technologies plays a pivotal role in (i) understanding their costs and benefits when compared to conventional development techniques, and (ii) their effective transfer to mainstream software development.
The goal of the 2nd ACoM workshop is to put together researchers and practitioners with different backgrounds to (a) understand the impact of contemporary modularization techniques in practice; (b) explore new, and potentially more effective, modularity modeling and assessment methods to account for and guide the application of modularization techniques, and (c) discuss the potential of using modularity assessment results to improve software development outcomes, to improve existing modularization techniques, and to foster the development of new techniques.
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Details
- Title
- 2nd workshop on assessment of contemporary modularization techniques (ACoM 2008)
- Creators
- Phil Greenwood - Lancaster UniversityAlessandro Garcia - Pontifical Catholic University of Rio de JaneiroElisa BaniassadKevin Sullivan - University of VirginiaYuanfang Cai - Drexel UniversityAlan MacCormack
- Publication Details
- Companion to the 23rd ACM SIGPLAN conference on object-oriented programming systems languages and applications, pp 839-842
- Conference
- 23rd ACM SIGPLAN conference on object-oriented programming systems languages and applications, 23rd
- Series
- OOPSLA Companion '08
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Scopus ID
- 2-s2.0-63649122329
- Other Identifier
- 991019173564704721