Background Assessing and communicating software engineering research can be
challenging. Design science is recognized as an appropriate research paradigm for applied …

Context: Recent work on Evidence Based Software Engineering (EBSE) suggests that
systematic reviews lack connection with Software Engineering (SE) practice. In Evidence …

Software engineering research aims to help improve real-world practice. With the adoption
of empirical software engineering research methods, the understanding of real-world needs …

Regression testing is a means to assure that a change in the software, or its execution
environment, does not introduce new defects. It involves the expensive undertaking of …

The use of machine learning (ML)-based language models (LMs) to monitor content online
is on the rise. For toxic text identification, task-specific fine-tuning of these models are …

[Context:] Software engineering researchers and practitioners rely on empirical evidence
from the field. Thus, education of software engineers must include strong and applied …

The introduction of cloud technology has reduced the feedback time in software
development for many companies. However, companies require significant resources to run …

There is a growing interest in industry and academia in machine learning (ML) testing. We
believe that industry and academia need to learn together to produce rigorous and relevant …

Besides increasing transparency and demonstrating awareness of the author, self-reported
limitations enable other researchers to effectively learn from, build on, validate, and extend …

This report presents a synthesis of the research done at Microsoft to understand the impact
of the COVID-19 pandemic on work practices. It focuses on information workers–people who …