|February 1, 2017||Abstract and optional full paper submission begins|
|May 26, 2017||Exhibit & Supporter registration opens|
|June 15, 2017||Abstract and optional extended abstract submission ends|
|June 29, 2017||Acceptance notifications sent|
|July 24, 2017||Submit final abstracts and presenter biographies|
|August 28, 2017||Submit final presentations and optional full papers|
Software Development for Medical Devices: State of Practice
Software in medical devices can be used in many ways to improve patient outcomes. Little contemporary data exists to document the actual practices used by software professionals for software engineering activities while building Software intensive medical devices. A carefully constructed survey has the potential to: 1) remedy the deficiency of lack of data and 2) to identify the software engineering best practices, which can then be disseminated. Two recent survey studies were conducted to explore the state of practice in Requirements Engineering and Software Architecture. Each survey attracted projects across a broad range of application domains. In this paper, we filter the reported projects from the two surveys to focus our attention on the software for medical devices projects. The results from our analysis of the filtered data are presented herein.
This presentation has not yet been uploaded.
No handouts have been uploaded.
Mohamad Kassab (Primary Presenter), Pennsylvania State University, firstname.lastname@example.org;
Dr. Kassab is an assistant professor in Software Engineering at Penn State Great Valley. He received his Ph.D. degree in computer science from Concordia University in Montreal, Canada. With more than 17 years of industrial experiences, he worked in different roles before establishing his career in academia, among which: senior quality engineer at SAP, senior associate at Morgan Stanley, senior quality assurance specialist at NOKIA, senior software developer at Positron Safety Systems. Dr. Kassab’s research interests include developing a formal, integrated and quantitative approaches, architectural frameworks and tools to modeling and assessing software quality requirements.