New video: Data management and Data Pipelines

Data management and Data Pipelines: An empirical investigation in the embedded systems domain Candidate: Aiswarya Raj Munappy Link to the recorded presentation on YouTube: https://youtu.be/UCYxoLjfGvA Context: Companies are increasingly collecting data from all possible sources to extract insights that help in data-driven decision-making. Increased data volume, variety, and velocity and the impact of poor quality data on the development of data products are leading companies to look for an improved

New video: Collaborative Traceability

’Collaborative Traceability — Nine practices and why they (don’t) work’ New recording from the Software Center Brown Bag seminar series,  May 17th. It is hosted by theme 4 (‘Customer Data and Ecosystem Driven Development’) and our speaker is Jan-Philipp Steghöfer, Chalmers/University of Gothenburg. Link to the recorded presentation on YouTube: https://youtu.be/AjfsRo8plvA Abstract: Traceability information connects the artifacts created in a development process and allows, i.a., analysing the impact of changes,

New video: Understanding Metrics Team-Stakeholder Communication

Software Center lunch seminar organized by Theme 3, Metrics: Title: Understanding Metrics Team-Stakeholder Communication Abstract: In our study, we explore challenges in communication between metrics teams and stakeholders in agile metrics service delivery. Drawing on interviews and interactive workshops with team members and stakeholders at two different Swedish software development organizations, we identify interrelated challenges such as aligning expectations, prioritizing demands, providing regular feedback, and maintaining continuous dialogue, which impede

New video: How to Fail at Continuous Practices

New video from the Software Center Brown Bag Seminar series, hosted by Theme 1 (“Continuous Delivery”): Speaker: Daniel Ståhl We have all read the books, watched the movies and listened to the talks telling us how to succeed at continuous integration, continuous delivery and all things continuous. By all rights, this would seem to be a solved problem – and yet… In this brown bag seminar we turn the tables

New video: Data Labeling

Data Labeling: Industrial Challenges and Mitigation Strategies Labels are a prerequisite to perform supervised machine learning. However, in industrial contexts, data is often incomplete because labels are missing partially or entirely. Even if there exist manual, semi-automatic, and automatic techniques, such as crowdsourcing, active-learning (AL), and semi-supervised learning (SSL), we have seen that AL and SSL are rarely implemented due to lack of knowledge of their existence. Furthermore, labeling instances

New video: Test Case Selection In The Presence of Class Noise

Speaker: Khaled Al-Sabbagh Abstract: Machine learning models have been increasingly used to support decision making in software engineering tasks. One example of its application is the optimization of test case selection in continuous integration. Among the challenges that hinders the application of machine learning is the amount of noise that comes in the data, which often leads to a decrease in classification performances. For this reason, we examine the impact

Metrics theme research summary, March 2021

In March 2021, all projects in the metrics theme have prepared a summary of their activities. This summary complements the newsletter sent our to all our partners. ACoRA: Automated Code Review Assistant Modern Code Reviews became an integral part of software delivery and deployment pipeline. However, as the speed of software development increases, the manual code reviews can become a bottleneck – with the increased size of committed code, the

New video: Supporting Migration of Software to Heterogeneous Platforms

March 8 brownbag seminar organized by the AI engineering theme in Software Center. This time our speaker is Hugo Sica de Andrade. Abstract: The requirements for performance continue to increase in computer systems across several domains. Particularly in artificial intelligence applications, several workloads require large amounts of memory, parallel computing, and low-precision computation. One of the most prominent ways of fulfilling these performance requirements is through heterogeneous computing, i.e., using

Metrics theme

Company-wise measurement programs are socio-technological systems, which combine social aspects of what, when and where to measure with technical aspects of how to measure. These programs are usually difficult to establish as utilizing the measurement information in decision-making is more difficult than it seems. At the latest Software Center metrics workshop in October, the partners of this theme learned about how an effective metrics program was created in only 18

Words from the Director - June 2020

At the end of sprint 18 of Software Center it is hard to believe that we have already been going for 9 years. Every sprint so far has proven to be different and this sprint was no exception. The Corona/COVID-19 pandemic fundamentally affected the work in Software Center and at the member companies and universities. Some of our member companies shut down partially or completely, almost everyone is working from