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ArborCraft: automatic feature models from textual requirements documents

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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ArborCraft : automatic feature models from textual requirements documents. / Weston, Nathan; Rashid, Awais.

EA '09 Proceedings of the 15th workshop on Early aspects. New York, NY, USA : ACM, 2009. p. 45-46.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Weston, N & Rashid, A 2009, ArborCraft: automatic feature models from textual requirements documents. in EA '09 Proceedings of the 15th workshop on Early aspects. ACM, New York, NY, USA, pp. 45-46. https://doi.org/10.1145/1509825.1509836

APA

Weston, N., & Rashid, A. (2009). ArborCraft: automatic feature models from textual requirements documents. In EA '09 Proceedings of the 15th workshop on Early aspects (pp. 45-46). ACM. https://doi.org/10.1145/1509825.1509836

Vancouver

Weston N, Rashid A. ArborCraft: automatic feature models from textual requirements documents. In EA '09 Proceedings of the 15th workshop on Early aspects. New York, NY, USA: ACM. 2009. p. 45-46 doi: 10.1145/1509825.1509836

Author

Weston, Nathan ; Rashid, Awais. / ArborCraft : automatic feature models from textual requirements documents. EA '09 Proceedings of the 15th workshop on Early aspects. New York, NY, USA : ACM, 2009. pp. 45-46

Bibtex

@inproceedings{df8818433a834903b674ae6b7d7749a4,
title = "ArborCraft: automatic feature models from textual requirements documents",
abstract = "One of the tasks facing requirements engineers working in the field of Product Line Engineering is the creation of feature models, which represent the domain of the product line and from which product configurations can be derived. Requirements documents, which are to be mined for this information, are often very large and written in potentially ambiguous natural language, and can be written over a long period of time by various authors. This makes the engineer's task very arduous, and a clear separation of concerns is often difficult to infer from textual documents. We present ArborCraft, a tool which automatically mines textual requirements documents, identifies features based on natural-language processing techniques, and produces a candidate feature model. We show that this can significantly reduce the burden on the requirements engineer and promote separation of concerns early in the Product Line Engineering process.",
author = "Nathan Weston and Awais Rashid",
year = "2009",
doi = "10.1145/1509825.1509836",
language = "English",
pages = "45--46",
booktitle = "EA '09 Proceedings of the 15th workshop on Early aspects",
publisher = "ACM",

}

RIS

TY - GEN

T1 - ArborCraft

T2 - automatic feature models from textual requirements documents

AU - Weston, Nathan

AU - Rashid, Awais

PY - 2009

Y1 - 2009

N2 - One of the tasks facing requirements engineers working in the field of Product Line Engineering is the creation of feature models, which represent the domain of the product line and from which product configurations can be derived. Requirements documents, which are to be mined for this information, are often very large and written in potentially ambiguous natural language, and can be written over a long period of time by various authors. This makes the engineer's task very arduous, and a clear separation of concerns is often difficult to infer from textual documents. We present ArborCraft, a tool which automatically mines textual requirements documents, identifies features based on natural-language processing techniques, and produces a candidate feature model. We show that this can significantly reduce the burden on the requirements engineer and promote separation of concerns early in the Product Line Engineering process.

AB - One of the tasks facing requirements engineers working in the field of Product Line Engineering is the creation of feature models, which represent the domain of the product line and from which product configurations can be derived. Requirements documents, which are to be mined for this information, are often very large and written in potentially ambiguous natural language, and can be written over a long period of time by various authors. This makes the engineer's task very arduous, and a clear separation of concerns is often difficult to infer from textual documents. We present ArborCraft, a tool which automatically mines textual requirements documents, identifies features based on natural-language processing techniques, and produces a candidate feature model. We show that this can significantly reduce the burden on the requirements engineer and promote separation of concerns early in the Product Line Engineering process.

U2 - 10.1145/1509825.1509836

DO - 10.1145/1509825.1509836

M3 - Conference contribution/Paper

SP - 45

EP - 46

BT - EA '09 Proceedings of the 15th workshop on Early aspects

PB - ACM

CY - New York, NY, USA

ER -