An empirical study of refactoring decisions in embedded software and systems | Zendy

Sara Dersten | Zendy; Jakob Axelsson | Zendy; Joakim Fröberg | Zendy

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An empirical study of refactoring decisions in embedded software and systems

Author(s) -

Sara Dersten,

Jakob Axelsson,

Joakim Fröberg

Publication year - 2012

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2012.01.058

Subject(s) - code refactoring , computer science , architecture , empirical research , software engineering , process (computing) , decision support system , information system , software architecture , process management , software , knowledge management , artificial intelligence , programming language , philosophy , epistemology , art , electrical engineering , business , visual arts , engineering

This paper describes an empirical study of decision-making when changing the architecture in embedded systems. A refactoring of the system architecture often gives effects on both system properties and functions in the company organization, and there is a lack of efficient analysis methods for decision support in the system architecture process. This study investigates the information needed to make a decision about a system refactoring. Scenario-based interviews have been conducted with managers and system architects from companies developing embedded systems. The results show that the companies investigate similar issues regardless of their industry sector. The most wanted information prior to a decision is also presented

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