Commercial pressures on time-to-market often require the development of software in situations where deadlines are very tight and non-negotiable. This type of development can be termed ‘time-constrained software development.’ The need to compress development timescales influences both the software process and the way it is managed. Conventional approaches to modelling tend to treat the development process as being linear, sequential and static. Whereas, the processes used to achieve timescale compression in industry are iterative, concurrent and dynamic. That is, they replace the notion of ‘right-first-time’ with one of ‘right-on-time.’ In this paper we propose a new modelling technique, called Capacity-Based Scheduling (CBS), to control risk across a portfolio of time-constrained projects. We show how schedule constraints can be modelled in order to predict the consequences of alternative plans and control schedule risk across a portfolio of time-constrained projects.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Did you know? All full texts are decentralized with the publishers, none reside on this server, thus making it possible to offer this service for free to all parties.