An introduction to database systems: vol. I (4th ed.)
An introduction to database systems: vol. I (4th ed.)
Software evolution: the software maintenance challenge
Software evolution: the software maintenance challenge
Maintaining information systems in organizations
Maintaining information systems in organizations
A model for measuring information system size
MIS Quarterly
Software cost reduction methods in practice: a post-mortem analysis
Journal of Systems and Software - Special issue on software maintenance
Nine management guidelines for better cost estimating
Communications of the ACM
An Empirical Approach to Studying Software Evolution
IEEE Transactions on Software Engineering
Predicting Fault Incidence Using Software Change History
IEEE Transactions on Software Engineering
Maintaining a legacy: towards support at the architectural level
Journal of Software Maintenance: Research and Practice
Towards a framework for empirical assessment of changeability decay
Journal of Systems and Software - Special issue on empirical studies of software development and evolution
An empirical analysis of software evolution profiles and outcomes
ICIS '99 Proceedings of the 20th international conference on Information Systems
Does Code Decay? Assessing the Evidence from Change Management Data
IEEE Transactions on Software Engineering
Measuring software volatility: a multi-dimensional approach
ICIS '00 Proceedings of the twenty first international conference on Information systems
Types of software evolution and software maintenance
Journal of Software Maintenance: Research and Practice
Foundations of Business Systems
Foundations of Business Systems
Information Systems Methodologies; A Framework for Understanding, 2nd Ed.
Information Systems Methodologies; A Framework for Understanding, 2nd Ed.
Software Maintenance: The Problems and Its Solutions
Software Maintenance: The Problems and Its Solutions
The Moderating Effects of Structure on Volatility and Complexity in Software Enhancement
Information Systems Research
ICSE '76 Proceedings of the 2nd international conference on Software engineering
Addressing software volatility in the system life cycle
Addressing software volatility in the system life cycle
Determinants of software volatility: a field study
Journal of Software Maintenance: Research and Practice
Comparing Uniform and Flexible Policies for Software Maintenance and Replacement
IEEE Transactions on Software Engineering
Journal of Software Maintenance and Evolution: Research and Practice
Hi-index | 0.00 |
Management are keen to maximize the life span of an information system because of the high cost, organizational disruption, and risk of failure associated with the re-development or replacement of an information system. This research investigates the effects that various factors have on an information system's life span by understanding how the factors affect an information system's stability. The research builds on a previously developed two-stage model of information system change whereby an information system is either in a stable state of evolution in which the information system's functionality is evolving, or in a state of revolution, in which the information system is being replaced because it is not providing the functionality expected by its users.A case study surveyed a number of systems within one organization. The aim was to test whether a relationship existed between the base value of the volatility index (a measure of the stability of an information system) and certain system characteristics. Data relating to some 3000 user change requests covering 40 systems over a 10-year period were obtained. The following factors were hypothesized to have significant associations with the base value of the volatility index: language level (generation of language of construction), system size, system age, and the timing of changes applied to a system. Significant associations were found in the hypothesized directions except that the timing of user changes was not associated with any change in the value of the volatility index.