Software productivity is perceived by practitioners as one of the most important subjects of Software Engineering (SE), because it establishes a connection between technical and economic concerns. Nonetheless, software processes are complex and productivity means different things to different people. In order to realize the full contribution of productivity research to the practice of SE, the compilation and analysis of the diverse practitioner viewpoints and concerns is required. In this paper, we develop a systematic literature review to confirm the existence of different empirical perceptions of productivity from the distinct business sectors and knowledge areas covered in practice by SE, identifying also commonalities that may exist. This review was compiled by analyzing 73 papers on empirical studies published from 1987 to 2017. The review found great variability of study findings, particularly concerning the impacts of agile and hybrid development practices on software productivity, and research gaps that could be investigated in the future.

Industry and society as a whole are facing radical changes due to fast growing digital technologies and their penetration of practically all areas. Products and services will increasingly augment and integrate the real world with the digital world. This digital transformation has reached all business areas. The role of Requirements Engineering is therefore changing in becoming even more ubiquitous: Changing value chains and production processes, as well as new business models and innovative IT and software systems, need to be developed and operated in even shorter time frames. No wonder that project managers and IT departments feel unable to cope with the challenges on their own. We propose a panel in order to look into the role of requirements engineering in making digital transformations successful. It will address process, culture and technology dimensions.

Few would deny today the importance of empirical studies in the field of Software Engineering (SE) and, indeed, an increasing number of studies are being conducted involving the software industry. While literature abounds on empirical procedures, relatively little is known about the dynamics and complexity of conducting empirical studies in the software industry. What are the impediments and how to best handle them? This driver underlies the organisation of the third in a series of workshops, CESI 2015. Apart from structured presentations and discussions from academic and industry participants, this workshop (like predecessor workshops) includes a "wall of ideas" session where all participants asynchronously post their ideas on the wall, literally, which are then analysed. As a tangible output, the workshop's discussions will be summarised in a post-workshop report.

Technology and knowledge have been recognized as main sources of competitive advantage of corporations, industries and nations, particularly in the software domain. They have led to the creation of local ecosystems devoted to development and transfer activities, which ensure not only personal and institutional motivation/recognition, but also social and economic gains. An open (ended) debate panel is proposed in order to develop greater awareness and seek deeper understanding of such activities from Requirements Engineering research to industrial practice. The panel involves researchers and practitioners with the perspective of eliciting: (i) experiences in knowledge and technology development and transfer; (ii) awareness and effectiveness of models and patterns; and (iii) factors for having successful collaboration between research institutions and industry. The organizers also plan to run a survey during and after the conference, summarizing their conclusions in specific post-conference reports.