We develop an optimal control model to maximize the net value provided by a software system over its useful life. The model determines the initial number of features in the system, the level of dynamic enhancement effort, and the lifetime of the system. The various factors affecting these...

We develop an optimal control model to maximize the net value provided by a software system over its useful life. The model determines the initial number of features in the system, the level of dynamic enhancement effort, and the lifetime of the system. The various factors affecting these...

We develop variations of the M|G|1 queue to model the process of software maintenance within organizations and use these models to compute the optimal allocation of resources to software maintenance. User requests are assumed to arrive following a Poisson process and a binomial distribution is...

We develop a general model for software development process and propose a policy to manage system coordination using system fault reports (e.g., interface inconsistencies, parameter mismatches, etc.). These reports are used to determine the timing of coordination activities that remove faults....

Input distortion is a common problem faced by expert systems, particularly those deployed with a Web interface. In this study, we develop novel methods to distinguish liars from truth-tellers, and redesign rule-based expert systems to address such a problem. The four proposed methods are termed...

Users who have an ad-blocker installed present a genuine predicament for a website (a.k.a. publisher): On the one hand, these users do not generate revenue for the website; on the other hand, denying them access can shrink the user base and adversely affect the popularity of the website,...

In the mobile advertising ecosystem, the role of ad-exchanges to match advertisers and publishers has grown significantly over the past few years. At a mobile ad-exchange, impressions (i.e., opportunities to display ads) are sold to advertisers in real time through an auction mechanism. The...

The wide variety of pricing policies used in practice by data-sellers suggests that there are significant challenges in pricing datasets. In this paper, we develop a utility framework that is appropriate for data-buyers and the corresponding pricing of the data by the data-seller. A buyer...

The unprecedented rate at which data is being generated has led to the growth of data markets where valuable datasets are bought and sold. A salient feature of this market is that a data-buyer (agent) is endowed with multi-dimensional private information, namely her ``ideal'' record that she...

Until very recently, grid computing was popular only in the research arena. However recent business reports suggest that enterprises are working towards implementing enterprise wide grids to share and utilize their vastly distributed computing resources. An important problem that arises in the...