
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>Software contracting is a multi-faceted issue that involves legal, economic, managerial and technological considerations. To better understand the economic aspect of software contracting, this paper provides a summary review of software development contracts, followed by a gametheoretic model developed to incorporate incentive and information issues associated with software contracting. In the model an outside contractor is hired to develop a software system over multiple periods. Due to the uncertainties about costs or technology, the developer faces the risk of having to abandon the project at an intermediate phase. The user is better informed of the benefit of the system, while the developer privately discovers the development costs as the project advances. Given the limited information, the contracting parties make decisions in their own interest, leaving each party vulnerable to the other's opportunistic behavior. In this setting, we construct a viable contract that aligns the incentives of the contracting parties and produces the same equilibrium outcome as in in-house development. We also relate the implications of the model to the actual contract cases.
Theory of software, software development, contract design, incentives, asymmetric information, Social choice
Theory of software, software development, contract design, incentives, asymmetric information, Social choice
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 123 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
