Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Principles of expert systems
Introduction to Expert Systems
Introduction to Expert Systems
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Bayesian Graphical Models for Software Testing
IEEE Transactions on Software Engineering
Constructing Bayesian-network models of software testing and maintenance uncertainties
ICSM '97 Proceedings of the International Conference on Software Maintenance
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Software Engineering: A Practitioner's Approach
Software Engineering: A Practitioner's Approach
A probabilistic calculus of actions
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Dynamic resource scheduling in disruption-prone software development environments
FASE'10 Proceedings of the 13th international conference on Fundamental Approaches to Software Engineering
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Managing software maintenance is rarely a precise task due to uncertainties concerned with resources and services descriptions. Even when a well-established maintenance process is followed, the risk of delaying tasks remains if the new services are not precisely described or when resources change during process execution. Also, the delay of a task at an early process stage may represent a different delay at the end of the process, depending on complexity or services reliability requirements. This paper presents a knowledge based representation (Bayesian Networks) for maintenance project delays based on specialists experience.