[PDF][PDF] A systematic literature review of software defect prediction
RS Wahono - Journal of software engineering, 2015 - romisatriawahono.net
Recent studies of software defect prediction typically produce datasets, methods and
frameworks which allow software engineers to focus on development activities in terms of …
frameworks which allow software engineers to focus on development activities in terms of …
[PDF][PDF] Software defect prediction models for quality improvement: a literature study
MS Rawat, SK Dubey - International Journal of Computer Science Issues …, 2012 - Citeseer
In spite of meticulous planning, well documentation and proper process control during
software development, occurrences of certain defects are inevitable. These software defects …
software development, occurrences of certain defects are inevitable. These software defects …
Using complexity, coupling, and cohesion metrics as early indicators of vulnerabilities
I Chowdhury, M Zulkernine - Journal of Systems Architecture, 2011 - Elsevier
Software security failures are common and the problem is growing. A vulnerability is a
weakness in the software that, when exploited, causes a security failure. It is difficult to detect …
weakness in the software that, when exploited, causes a security failure. It is difficult to detect …
Improved reliability modeling using Bayesian networks and dynamic discretization
This paper shows how recent Bayesian network (BN) algorithms can be used to model time
to failure distributions and perform reliability analysis of complex systems in a simple unified …
to failure distributions and perform reliability analysis of complex systems in a simple unified …
Software measurement: Uncertainty and causal modeling
Software measurement can play an important risk management role during product
development. For example, metrics incorporated into predictive models can give advance …
development. For example, metrics incorporated into predictive models can give advance …
Evaluating and comparing complexity, coupling and a new proposed set of coupling metrics in cross-project vulnerability prediction
S Moshtari, A Sami - Proceedings of the 31st annual ACM symposium …, 2016 - dl.acm.org
Software security is an important concern in the world moving towards Information
Technology. Detecting software vulnerabilities is a difficult and resource consuming task …
Technology. Detecting software vulnerabilities is a difficult and resource consuming task …
Bayesian Networks for the management of greenhouse gas emissions in the British agricultural sector
E Pérez-Miñana, PJ Krause, J Thornton - Environmental Modelling & …, 2012 - Elsevier
Recent years have witnessed a rapid rise in the development of deterministic and non-
deterministic models to estimate human impacts on the environment. An important failing of …
deterministic models to estimate human impacts on the environment. An important failing of …
[HTML][HTML] Extracting software static defect models using data mining
AH Yousef - Ain Shams Engineering Journal, 2015 - Elsevier
Large software projects are subject to quality risks of having defective modules that will
cause failures during the software execution. Several software repositories contain source …
cause failures during the software execution. Several software repositories contain source …
A systematic review on software defect prediction
PK Singh, D Agarwal, A Gupta - 2015 2nd International …, 2015 - ieeexplore.ieee.org
This paper explains how to find the defects in the software using various techniques. We
have analyzed different data sets which have been used in finding faults in various research …
have analyzed different data sets which have been used in finding faults in various research …
[PDF][PDF] Operational risk management-implementing a Bayesian network for foreign exchange and money market settlement
K Adusei-Poku - 2005 - Citeseer
Recent financial scandals in the banking industry have caused considerable attention to be
focused on operational risk. This is because an analysis of some of these scandals reveals …
focused on operational risk. This is because an analysis of some of these scandals reveals …