Paper Info
Title
Focused Inspections to Support Defect Detection in Automation Systems Engineering Environments.
Abstract
[Context] In Automation Systems Engineering ASE Environments, engineers coming from different disciplines, have to collaborate. Individual engineers, e.g., from electrical, mechanical, or software domains, apply domain-specific tools and related data models that hinder efficient collaboration due to limited capabilities for interaction and data exchange on technical and semantic level. Manual activities are required to synchronize planning data from different disciplines and can raise additional risks caused by defects and/or changes that cannot be identified efficiently. [Objective] Main objective is to improve a engineering processes by providing efficient data exchange mechanism and to support b defect detection performance in ASE environments. [Method] Software inspections SI are commonly used by engineers in Software Engineering SE by applying well-defined approaches to systematically identify defects early in the development process. In this paper we adapt the traditional SI process for application in ASE environments and provide a software tool to support frequent synchronization and focused reviews. We evaluate and discuss the adapted process in an industry context. [Results] Main results were that the adapted process and the software tool can be useful in the application context in order to identify defects early, increase overall product quality, and improve engineering processes in the ASE domain. [Conclusion] The proposed adapted inspection approach showed promising results to improve ASE projects.
Year
DOI
Venue
2015
10.1007/978-3-319-26844-6_27
PROFES
Keywords
Field
DocType
Inspection, Defect detection, Tool-support, Automation systems engineering environments, Feasibility study
Software tool,Data modeling,Synchronization,Data exchange,Software engineering,Systems engineering,Adapted process,Automation,Software,Engineering,Application Context
Conference
Volume
ISSN
Citations 
9459
0302-9743
1
PageRank 
References 
Authors
0.34
12
2
Name
Order
Citations
PageRank
Dietmar Winkler113825.30
Stefan Biffl21305134.26