Supporting software architecture maintenance by providing task-specific recommendations

• Main Authors: GALSTER, Matthias, TREUDE, Christoph, BLINCOE, Kelly
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: natural language processing; software architecture; Software maintenance; text classification; Software Engineering; Systems Architecture
• Online Access: https://ink.library.smu.edu.sg/sis_research/8868; https://ink.library.smu.edu.sg/context/sis_research/article/9871/viewcontent/icsme19c.pdf
• Institution: Singapore Management University

During software maintenance, developers have different information needs (e.g., to understand what type of maintenance activity to perform, the impact of a maintenance activity and its effort). However, information to support developers may be distributed across various sources. Furthermore, information captured in formal architecture documentation may be outdated. In this paper, we put forward a late breaking idea and outline a solution to improve the productivity of developers by providing task-specific recommendations based on concrete information needs that arise during software maintenance.