Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

10-2019

Abstract

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 Furthermore, information captured in formal architecture documentation may be outdated.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.

Keywords

natural language processing, software architecture, Software maintenance, text classification

Discipline

Software Engineering | Systems Architecture

Research Areas

Software and Cyber-Physical Systems

Publication

Proceedings of the 35th International Conference on Software Maintenance and Evolution, Cleveland, September 30 - October 4

First Page

370

Last Page

372

ISBN

9781728130941

Identifier

10.1109/ICSME.2019.00060

Publisher

IEEE

City or Country

Piscataway, NJ

Additional URL

https://doi.org/10.1109/ICSME.2019.00060

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