Antinisca Di Marco - Böcker

This book is a open access. The primary purpose of this book is to serve as a comprehensive guide, translating research into best practices to promote gender inclusivity in informatics. The handbook seeks to empower its readers, providing them with actionable recommendations to bridge the gender gap in informatics. This initiative aims to have an immediate impact on the informatics community, raising awareness and interest through its practical resources, and on the society bringing more women into computer science and technological studies and following career steps. This book provides you with five years of research on gender equity and improving the gender balance in Informatics across Europe. It translates current research on gender inclusivity into practical strategies and intervention methods. It offers recommendations for the recruitment, retention, and promotion of female computer scientists at different academic and industrial levels, and insights into fostering mutually beneficial cooperation between universities and industries.We have collected data from different target audiences and different education and career levels to provide insights into why we have low girl and women participation rates in sciences, why we have a leaky pipeline in academia, and why women leave the industry.We have analyzed this data and identified four target audiences for activities and policy influence. We provide sets of recommendations for each of these target groups on how to become active in advocacy as well as specific actions in their daily environments to improve learning and work environments as well as retention of women students and personnel.We provide ample scenarios of how to apply our findings in practice and share materials both in the book as well as in free public access online documentation to further disseminate and make use of this knowledge.The book serves as joint European voice of Informatics to increase the equity for women in the field.

This book constitutes the refereed proceedings of the 14th EuropeanWorkshop on Computer Performance Engineering, EPEW 2017, held in Berlin,Germany, in September 2017.The 18 papers presented together with the abstracts of two invited talks in this volume were carefully reviewed and selected from 30 submissions. The papers presented at the workshop reflect the diversity of modern performanceengineering, with topics ranging from advances in Markov models; advances in quantitative analysis; model checking; and cyber-physical systems to performance, energy and security.

Poor performance is one of the main quality-related shortcomings that cause software projects to fail. Thus, the need to address performance concerns early during the software development process is fully acknowledged, and there is a growing interest in the research and software industry communities towards techniques, methods and tools that permit to manage system performance concerns as an integral part of software engineering. Model-based software performance analysis introduces performance concerns in the scope of software modeling, thus allowing the developer to carry on performance analysis throughout the software lifecycle.With this book, Cortellessa, Di Marco and Inverardi provide the cross-knowledge that allows developers to tackle software performance issues from the very early phases of software development. They explain the basic concepts of performance analysis and describe the most representative methodologies used to annotate and transform software models into performance models. To this end, they go all the way from performance primers through software and performance modeling notations to the latest transformation-based methodologies. As a result, their book is a self-contained reference text on software performance engineering, from which different target groups will benefit: professional software engineers and graduate students in software engineering will learn both basic concepts of performance modeling and new methodologies; while performance specialists will find out how to investigate software performance model building.