APPLICATION OF METRICS TO REQUIREMENT SPECIFICATION BASED ON THE STATE TRANSITION MODEL.

C. V. Ramamoorthy; W. T. Tsai; T. Yamaura; A. K. Bhide

APPLICATION OF METRICS TO REQUIREMENT SPECIFICATION BASED ON THE STATE TRANSITION MODEL.

C. V. Ramamoorthy, W. T. Tsai, T. Yamaura, A. K. Bhide

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The application of metrics at the early phases of the software life-cycle is a promising area for research. The state transition model (STM) is one of the most popular requirement models in software engineering. Many requirement specification languages are based on this model. We propose metrics for the STM model and show how these metrics can be used. We study ways of clustering states of a requirement specified using the STM model to reduce complexity of the given STM. Metrics may be used to decide whether there is a need for clustering and to choose between alternative clustering strategies. We specify an example using the STM model and derive metrics from the specification. We then present alternative clustering strategies for the STM.

Original language	English (US)
Title of host publication	Proceedings of the Hawaii International Conference on System Science
Publisher	Hawaii Int Conf on System Sciences
Pages	164-174
Number of pages	11
Volume	2
State	Published - 1986
Externally published	Yes

ASJC Scopus subject areas

Engineering(all)

Cite this

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title = "APPLICATION OF METRICS TO REQUIREMENT SPECIFICATION BASED ON THE STATE TRANSITION MODEL.",

abstract = "The application of metrics at the early phases of the software life-cycle is a promising area for research. The state transition model (STM) is one of the most popular requirement models in software engineering. Many requirement specification languages are based on this model. We propose metrics for the STM model and show how these metrics can be used. We study ways of clustering states of a requirement specified using the STM model to reduce complexity of the given STM. Metrics may be used to decide whether there is a need for clustering and to choose between alternative clustering strategies. We specify an example using the STM model and derive metrics from the specification. We then present alternative clustering strategies for the STM.",

author = "Ramamoorthy, {C. V.} and Tsai, {W. T.} and T. Yamaura and Bhide, {A. K.}",

year = "1986",

language = "English (US)",

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pages = "164--174",

booktitle = "Proceedings of the Hawaii International Conference on System Science",

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AU - Ramamoorthy, C. V.

AU - Tsai, W. T.

AU - Yamaura, T.

AU - Bhide, A. K.

PY - 1986

Y1 - 1986

N2 - The application of metrics at the early phases of the software life-cycle is a promising area for research. The state transition model (STM) is one of the most popular requirement models in software engineering. Many requirement specification languages are based on this model. We propose metrics for the STM model and show how these metrics can be used. We study ways of clustering states of a requirement specified using the STM model to reduce complexity of the given STM. Metrics may be used to decide whether there is a need for clustering and to choose between alternative clustering strategies. We specify an example using the STM model and derive metrics from the specification. We then present alternative clustering strategies for the STM.

AB - The application of metrics at the early phases of the software life-cycle is a promising area for research. The state transition model (STM) is one of the most popular requirement models in software engineering. Many requirement specification languages are based on this model. We propose metrics for the STM model and show how these metrics can be used. We study ways of clustering states of a requirement specified using the STM model to reduce complexity of the given STM. Metrics may be used to decide whether there is a need for clustering and to choose between alternative clustering strategies. We specify an example using the STM model and derive metrics from the specification. We then present alternative clustering strategies for the STM.

UR - http://www.scopus.com/inward/record.url?scp=0022957450&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0022957450&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0022957450

VL - 2

SP - 164

EP - 174

BT - Proceedings of the Hawaii International Conference on System Science

PB - Hawaii Int Conf on System Sciences

ER -

APPLICATION OF METRICS TO REQUIREMENT SPECIFICATION BASED ON THE STATE TRANSITION MODEL.

Abstract

ASJC Scopus subject areas

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