Browsing by Author "Thurimella, Anil Kumar"
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Item Collaboration and source code driven bottom-up product line engineering(2012) Martinez, Jabier; Thurimella, Anil Kumar; SWTCompanies that develop similar software systems often transition from single-system development to software product line development. In this transition, reusable assets are identified and incrementally created over a period of time. Bottom-up Software Product Line Engineering approaches aid stakeholders to identify variability from the legacy artifacts. One of these artifacts is the legacy source code. In this paper, we contribute the Collaboration and Source Code Driven Bottom-up approach, with two main enhancements. We apply clone detection and architecture reengineering techniques for identifying variability from the legacy artifacts. These techniques which have been traditionally used for maintaining software are now used for identifying variability and analyze code coupling and cohesion from the legacy code. Our second enhancement is improving stakeholder collaboration by guiding the domain experts in order to decide on variability. In particular, we apply Questions, Options and Criteria technique for capturing rationale and supporting collaboration.Item Third international workshop on knowledge-oriented product line engineering (KOPLE 2012)(2012) Hamza, Haitham S.; Martinez, Jabier; Thurimella, Anil Kumar; Deogun, Jitender S.; SWTSoftware Product Line Engineering (PLE) exploits systematic reuse by identifying and methodically reusing software artifacts to develop different but related software systems. Developing Product Lines requires analysis skills to identify, model, and encode domain and product knowledge into artifacts that can be systematically reused across the development life-cycle. As such, Knowledge plays a paramount role in the success of the various activities of PLE. The objective of the KOPLE workshop series is to bring together SPL researchers and practitioners from academia and industry to investigate the role of Knowledge in PLE. Knowledge is usually encapsulated in PL architectures in a tacit or implicit way, and this may appear to be sufficient for industry to implement successful product lines. Nevertheless, KOPLE also aims to become a discussion forum about techniques and methods to convert from tacit to explicit Knowledge in PLE and to process and use this Knowledge for optimizing and innovating PLE processes.