Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

Monitoring of Software Project Progress Base on Automata Theory

Authors
Funchun Liu, Gengbing Zhao
Corresponding Author
Funchun Liu
Available Online May 2016.
DOI
10.2991/wartia-16.2016.80How to use a DOI?
Keywords
Automaton, Software Project, Progress Monitoring.
Abstract

Since the monitoring of software project progress involves many uncertain factors, it is crucial to choose an effective modeling method to monitor the software project progress. In this paper, we propose a novel method to monitor the software project progress based on automata theory. The main contributions are threefold. First, an extended automaton, namely assigned finite automaton, is formalized to model the software project progress. Then, a new system structure for monitoring software project progress is presented based on the assigned finite automaton. Finally, an algorithm to realize the monitoring is developed. In addition, an example is provided, in which it is illustrated that the proposed method may effectively monitor the software project progress.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
10.2991/wartia-16.2016.80
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.80How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Funchun Liu
AU  - Gengbing Zhao
PY  - 2016/05
DA  - 2016/05
TI  - Monitoring of Software Project Progress Base on Automata Theory
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 404
EP  - 409
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.80
DO  - 10.2991/wartia-16.2016.80
ID  - Liu2016/05
ER  -