The University of Southampton
University of Southampton Institutional Repository

Simulating a Process Strategy for Large Scale Software Development

Simulating a Process Strategy for Large Scale Software Development
Simulating a Process Strategy for Large Scale Software Development
Today's commercial environment demands fast responses to new needs. Producers of large scale software recognise that software evolves and that advanced process techniques must be used to maintain competitive responsiveness. CMPM, the Cellular Manufacturing Process Model is an advanced component based process strategy which uses concurrency and distribution to reduce cycle times. In CMPM, networks of semi-autonomous cells co-operate to produce a complex large scale system. The model views development as a manufacturing activity where systems are built from components, which are a mixture of self built, re-used and bought in components. The model is hierarchical, any component may be a product of others. Software producers need predictability when competitive advantage demands a short time to market. Predicting the cost, quality and schedule outcome of CMPM depends upon the behaviour within cell (intra) and the co-operative behaviour between cells (inter) in a dynamic environment. Evaluating the effects of CMPM on cycle times and predictability is an active research area with the support of our industrial partners, ICL. The aim of the research is to provide a simulation based tool for designing and dynamically controlling CMPM processes. This paper examines some of the issues that affect the ability of cells to achieve their targets. We explain how we are using Systems Dynamics modelling and simulation to develop our understanding of both inter and intra cell behaviour, to provide evidence of the benefits of CMPM and identify the control points that predict performance.
10pp
Henderson, Peter
bf0a7293-7277-459d-9c3c-67b0a6eabd54
Howard, Yvonne
8aecbf0f-ed6a-4ce6-9530-5fa43226a3b0
Henderson, Peter
bf0a7293-7277-459d-9c3c-67b0a6eabd54
Howard, Yvonne
8aecbf0f-ed6a-4ce6-9530-5fa43226a3b0

Henderson, Peter and Howard, Yvonne (1999) Simulating a Process Strategy for Large Scale Software Development. At Proceedings of Workshop on Software Process Simulation Modelling, ProSim99 Proceedings of Workshop on Software Process Simulation Modelling, ProSim99. 10pp.

Record type: Conference or Workshop Item (Other)

Abstract

Today's commercial environment demands fast responses to new needs. Producers of large scale software recognise that software evolves and that advanced process techniques must be used to maintain competitive responsiveness. CMPM, the Cellular Manufacturing Process Model is an advanced component based process strategy which uses concurrency and distribution to reduce cycle times. In CMPM, networks of semi-autonomous cells co-operate to produce a complex large scale system. The model views development as a manufacturing activity where systems are built from components, which are a mixture of self built, re-used and bought in components. The model is hierarchical, any component may be a product of others. Software producers need predictability when competitive advantage demands a short time to market. Predicting the cost, quality and schedule outcome of CMPM depends upon the behaviour within cell (intra) and the co-operative behaviour between cells (inter) in a dynamic environment. Evaluating the effects of CMPM on cycle times and predictability is an active research area with the support of our industrial partners, ICL. The aim of the research is to provide a simulation based tool for designing and dynamically controlling CMPM processes. This paper examines some of the issues that affect the ability of cells to achieve their targets. We explain how we are using Systems Dynamics modelling and simulation to develop our understanding of both inter and intra cell behaviour, to provide evidence of the benefits of CMPM and identify the control points that predict performance.

Full text not available from this repository.

More information

Published date: June 1999
Additional Information: Address: Portland, Oregon
Venue - Dates: Proceedings of Workshop on Software Process Simulation Modelling, ProSim99, 1999-06-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 252942
URI: https://eprints.soton.ac.uk/id/eprint/252942
PURE UUID: 2790421a-9c6f-48d8-beff-4d83f0995d61

Catalogue record

Date deposited: 13 Apr 2000
Last modified: 18 Jul 2017 10:00

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×