ASQ Statistics/RRD/Risk/Software Division Joint Webinar: Software Reliability Engineering: Algorithms and Tools

Share This Post

ASQ Statistics/RRD/Risk/Software Division Joint Webinar: Software Reliability Engineering: Algorithms and Tools

Tue, Nov 10, 2020 11:00 AM – 12:00 PM EST

Presenter: Lance Fiondella, Electrical and Computer Engineering, University of Massachusetts Dartmouth

Abstract: While there are many software reliability models, there are relatively few tools to automatically apply these models. Moreover, these tools are decades old and difficult or impossible to configure on modern operating systems, even with a virtual machine. To overcome this technology gap, we are developing an open source software reliability tool for the software and system engineering community. A key challenge posed by such a project is the stability of the underlying model fitting algorithms, which must ensure that the parameter estimates of a model are indeed those that best characterize the data. If such model fitting is not achieved, users who lack knowledge of the underlying mathematics may inadvertently use inaccurate predictions. This is potentially dangerous if the model underestimates important measures such as the number of faults remaining or overestimates the mean time to failure (MTTF). To improve the robustness of the model fitting process, we have developed expectation conditional maximization (ECM) algorithms to compute the maximum likelihood estimates of nonhomogeneous Poisson process (NHPP) software reliability models. This talk will present an implicit ECM algorithm, which eliminates computationally intensive integration from the update rules of the ECM algorithm, thereby achieving a speedup of between 200 and 400 times that of explicit ECM algorithms. The enhanced performance and stability of these algorithms will ultimately benefit the software and system engineering communities that use the open source software reliability tool. An overview of the Software Failure and Reliability Assessment Tool (SFRAT) will also be provided.

Picture © B. Poncelet

More To Explore


Get Your ASQ Reliability Engineer CRE education at RAMS

A new benefit is being offered to attendees at no additional cost to registration! An additional track has been added that will be dedicated to delivering ASQ Certified Reliability Engineer (CRE) Preparatory Training in sessions aligned with the same times of the regular RAMS sessions for paper presentations and tutorials. The sessions will be broken


The 69th Annual Reliability and Maintainability Symposium

What You Can Look Forward to at RAMS 2023:  The RAMS Program Committee has lined up an outstanding program for you that will feature: — 32 paper sessions from industry professionals, leading researchers, and students;  — 4 panel sessions featuring industry and government leaders; — 22 tutorials supporting in-depth learning.  RAMS 2023 offers a unique combination

Scroll to Top