Autonomous Decentralized Semantic Based Traceability Link Recovery Framework
Summary :
The automation of traceability links or traceability matrices is important to many software development paradigms. In turn, the efficiency and effectiveness of the recovery of traceability links in the distributed software development is becoming increasingly vital due to complexity of project developments, as this include continuous change in requirements, geographically dispersed project teams, and the complexity of managing the elements of a project - time, money, scope, and people. Therefore, the traceability links among the requirements artifacts, which fulfill business objectives, is also critical to reduce the risk and ensures project‘s success. This paper proposes Autonomous Decentralized Semantic based Traceability Link Recovery (AD-STLR) architecture. According to best of our knowledge this is the first architectural approach that uses an autonomous decentralized concept, DBpedia knowledge-base, Babelnet 2.5 multilingual dictionary and semantic network, for finding similarity among different project artifacts and the automation of traceability links recovery.
- Publication
- IEICE TRANSACTIONS on Information Vol.E99-D No.9 pp.2283-2294
- Publication Date
- 2016/09/01
- Publicized
- 2016/06/07
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2016EDP7018
- Type of Manuscript
- PAPER
- Category
- Artificial Intelligence, Data Mining
Authors
Khalid MAHMOOD
Oakland University
Mazen ALOBAIDI
Oakland University
Hironao TAKAHASHI
DTS Inc Japan
Keyword
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Khalid MAHMOOD, Mazen ALOBAIDI, Hironao TAKAHASHI, "Autonomous Decentralized Semantic Based Traceability Link Recovery Framework" in IEICE TRANSACTIONS on Information,
vol. E99-D, no. 9, pp. 2283-2294, September 2016, doi: 10.1587/transinf.2016EDP7018.
Abstract: The automation of traceability links or traceability matrices is important to many software development paradigms. In turn, the efficiency and effectiveness of the recovery of traceability links in the distributed software development is becoming increasingly vital due to complexity of project developments, as this include continuous change in requirements, geographically dispersed project teams, and the complexity of managing the elements of a project - time, money, scope, and people. Therefore, the traceability links among the requirements artifacts, which fulfill business objectives, is also critical to reduce the risk and ensures project‘s success. This paper proposes Autonomous Decentralized Semantic based Traceability Link Recovery (AD-STLR) architecture. According to best of our knowledge this is the first architectural approach that uses an autonomous decentralized concept, DBpedia knowledge-base, Babelnet 2.5 multilingual dictionary and semantic network, for finding similarity among different project artifacts and the automation of traceability links recovery.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016EDP7018/_p
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@ARTICLE{e99-d_9_2283,
author={Khalid MAHMOOD, Mazen ALOBAIDI, Hironao TAKAHASHI, },
journal={IEICE TRANSACTIONS on Information},
title={Autonomous Decentralized Semantic Based Traceability Link Recovery Framework},
year={2016},
volume={E99-D},
number={9},
pages={2283-2294},
abstract={The automation of traceability links or traceability matrices is important to many software development paradigms. In turn, the efficiency and effectiveness of the recovery of traceability links in the distributed software development is becoming increasingly vital due to complexity of project developments, as this include continuous change in requirements, geographically dispersed project teams, and the complexity of managing the elements of a project - time, money, scope, and people. Therefore, the traceability links among the requirements artifacts, which fulfill business objectives, is also critical to reduce the risk and ensures project‘s success. This paper proposes Autonomous Decentralized Semantic based Traceability Link Recovery (AD-STLR) architecture. According to best of our knowledge this is the first architectural approach that uses an autonomous decentralized concept, DBpedia knowledge-base, Babelnet 2.5 multilingual dictionary and semantic network, for finding similarity among different project artifacts and the automation of traceability links recovery.},
keywords={},
doi={10.1587/transinf.2016EDP7018},
ISSN={1745-1361},
month={September},}
Copy
TY - JOUR
TI - Autonomous Decentralized Semantic Based Traceability Link Recovery Framework
T2 - IEICE TRANSACTIONS on Information
SP - 2283
EP - 2294
AU - Khalid MAHMOOD
AU - Mazen ALOBAIDI
AU - Hironao TAKAHASHI
PY - 2016
DO - 10.1587/transinf.2016EDP7018
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E99-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2016
AB - The automation of traceability links or traceability matrices is important to many software development paradigms. In turn, the efficiency and effectiveness of the recovery of traceability links in the distributed software development is becoming increasingly vital due to complexity of project developments, as this include continuous change in requirements, geographically dispersed project teams, and the complexity of managing the elements of a project - time, money, scope, and people. Therefore, the traceability links among the requirements artifacts, which fulfill business objectives, is also critical to reduce the risk and ensures project‘s success. This paper proposes Autonomous Decentralized Semantic based Traceability Link Recovery (AD-STLR) architecture. According to best of our knowledge this is the first architectural approach that uses an autonomous decentralized concept, DBpedia knowledge-base, Babelnet 2.5 multilingual dictionary and semantic network, for finding similarity among different project artifacts and the automation of traceability links recovery.
ER -
English
