NDLI: An approach for assisting industrial application reengineering

Content Provider	IEEE Xplore Digital Library
Author	Dubey, A. Bhattacharya, S.
Copyright Year	2012
Description	Author affiliation: Department of Mathematics and Computing, Indian Institute of Technology, Delhi, India (Bhattacharya, S.) \|\| Software Development Improvement Program, ABB Global Industries and Services Limited, Bangalore, India (Dubey, A.)
Abstract	Industrial automation applications are often reengineered to serve purposes such as reducing the load on controllers by adding additional controllers in the system, improving the throughput / performance of the application, or migrating to a new platform. We present an approach for automatically computing reengineering options for a legacy industrial automation application over an additional set of controllers. An engineer, while reengineering an application over an additional set of controllers, needs to compute the various dependencies between the modules (such as Program organization units, function blocks, statements) of the application. Additionally, he needs to consider aspects, such as, communication overhead, controller load, and geographical placement of field (input/output) devices. This is a time consuming activity when performed manually. Moreover, it is difficult to compare multiple reengineering options, on the above aspects, without some tool support. We propose an approach that automatically computes multiple reengineering options and recommends them to the engineer.
Starting Page	786
Ending Page	791
File Size	679823
Page Count	6
File Format	PDF
ISBN	9781467303125
e-ISBN	9781467303118
DOI	10.1109/INDIN.2012.6300877
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Automation Terminology optimization industrial automation application Prototypes reengineering migration Partitioning algorithms Equations Optimization
Content Type	Text
Resource Type	Article

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