60 likes | 198 Views
This project focuses on evolving infrastructure for software product lines (SPL) by implementing assessment testbeds, tools, and shared data for comparison across studies. Key objectives include identifying evolution patterns, providing refactoring support, and enhancing configuration management for large-scale product lines. The team comprises experts from Japan, Brazil, and the USA, leveraging industrial experience to address practical challenges in feature management and integration testing. Future outcomes aim to create a realistic testbed and improve decision-making in product line operations through empirical evidence and shared results.
E N D
Group Members Evolution: Infrastructure • Infrastructure/Technology Subgroup • Kentaro Yoshimura (Hitachi, Japan) • Uirá Kulesza (UFRN, Brazil) • Sergio Soares (UFPE, Brazil) • Cheng Thao (UW-Milwaukee, USA) • Ethan Munson (UW-Milwaukee, USA)
Main Objectives Evolution: Infrastructure • Assessment testbed and tools • Common data for many studies • Shared results from studies for comparison • Evolution histories • In order to learn about practices and needs • Identify evolution patterns • Refactoring support for SPL • Splitting/merging features • Support for large scale product lines • Many, many features
Main Objectives (2) Evolution: Infrastructure • Real CM support for variation • Is this necessary? • Perhaps not when feature/decision models are used correctly • What does empirical evidence say?
Matches Evolution: Infrastructure • Industrial experience • Yoshimura/Li/Krueger with everyone • Evidence that can be mined to motivate refactorings or version control approaches • Many practical issues that arise from large scale of feature set and product line • Empirical and case study support • Soares and Leuven group provide data • Used by Munson/Thao and Kulesza • Yoshimura/Li/Krueger can help us make sure that testbed is realistic
Gaps Evolution: Infrastructure • Integration testing support • Lack of hierarchical structure to feature combinations means that no one unit is in charge of each integration • Legacy systems • Mining features from existing code • Conditional compilation features? • build scripts products & components
Possible Future Results Evolution: Infrastructure • Assessment testbed and tools • Common data for many studies • Shared results from studies for comparison • Product line operations or refactorings • Configuration management support for SPL • Direct CMS support for impact analysis