A Feasibility Study of Automated Support for Similarity Analysis of Natural Language Requirements in Market-Driven Development

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A Feasibility Study of Automated Support for Similarity Analysis of Natural Language Requirements in Market-Driven Development. / Natt och Dag, Johan; Regnell, Björn; Carlshamre, P; Andersson, M; Karlsson, J.

In: Requirements Engineering, Vol. 7, No. 1, 2002, p. 20-33.

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Natt och Dag, Johan; Regnell, Björn; Carlshamre, P; Andersson, M; Karlsson, J / A Feasibility Study of Automated Support for Similarity Analysis of Natural Language Requirements in Market-Driven Development.

In: Requirements Engineering, Vol. 7, No. 1, 2002, p. 20-33.

Research output: Contribution to journalArticle

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TY - JOUR

T1 - A Feasibility Study of Automated Support for Similarity Analysis of Natural Language Requirements in Market-Driven Development

AU - Natt och Dag,Johan

AU - Regnell,Björn

AU - Carlshamre,P

AU - Andersson,M

AU - Karlsson,J

PY - 2002

Y1 - 2002

N2 - In market-driven software development there is a strong need for support to handle congestion in the requirements engineering process, which may occur as the demand for short time-to-market is combined with a rapid arrival of new requirements from many different sources. Automated analysis of the continuous flow of incoming requirements provides an opportunity to increase the efficiency of the requirements engineering process. This paper presents empirical evaluations of the benefit of automated similarity analysis of textual requirements, where existing information retrieval techniques are used to statistically measure requirements similarity. The results show that automated analysis of similarity among textual requirements is a promising technique that may provide effective support in identifying relationships between requirements.

AB - In market-driven software development there is a strong need for support to handle congestion in the requirements engineering process, which may occur as the demand for short time-to-market is combined with a rapid arrival of new requirements from many different sources. Automated analysis of the continuous flow of incoming requirements provides an opportunity to increase the efficiency of the requirements engineering process. This paper presents empirical evaluations of the benefit of automated similarity analysis of textual requirements, where existing information retrieval techniques are used to statistically measure requirements similarity. The results show that automated analysis of similarity among textual requirements is a promising technique that may provide effective support in identifying relationships between requirements.

U2 - 10.1007/s007660200002

DO - 10.1007/s007660200002

M3 - Article

VL - 7

SP - 20

EP - 33

JO - Requirements Engineering

T2 - Requirements Engineering

JF - Requirements Engineering

SN - 0947-3602

IS - 1

ER -