Lean Measurement: A Proposed Approach
octubre 30 @ 12:15 pm - 1:45 pm
Lean approach highly promotes value stream between production steps in order to improve software development processes. The main focus of a Lean approach is to identify and eliminate process waste, called “muda”, where non value-added activities must be eliminated to constantly reduce the overall cycle time. Literature proposes solutions for mitigating the waste in Lean manufacturing and Lean software development. However, an approach covering the measurement process for identifying and eliminating measurement-related muda, is missing. In order to address this, we made a parallel between the software development waste types and software measurement activities, within the metric ecosystem. We focused on using the concept of waste as a lens for identifying non-value producing measurement process elements. In order to achieve this, we constructed a waste identification ap-proach through which we identified eight software measurement wastes, and proposed guidelines for measurement waste identification and reduction. These guidelines can help companies identify measurement process is-sues that are present in their process in a timely and efficient manner.
Dr. Olga Ormandjieva is a professor in the Computer Science and Software Engineering (CSSE) Department at Concordia University, Montreal, Quebec (Canada) and a member of the Ordre des Ingénieurs du Québec (OIQ). Dr Ormandjieva has conducted extensive research in the area of Measurement in Software Engineering and its extension to the development of formal methods for modelling and monitoring functional and nonfunctional requirements with category theory. Her recent research findings tackle automatic detection of cyber-predators in social media using Artificial Intelligence (AI) technology and best Software Engineering practices. Dr. Ormandjieva’s new research direction aims at exploring different approaches to big data quality modeling and measurement. She has over 125 peer-reviewed journal and conference papers to her name, as well as seven book chapters. Dr. Ormandjieva has received several grant fundings from the Natural Sciences and Engineering Research Council (NSERC) and other sources since 2002. She graduated several doctoral and Master’s (thesis option) students and is held in very high esteem by all those she supervises. Currently Dr. Ormandjieva is teaching software engineering courses at Concordia University.