Software Center

Workshop: Improving the business value of process
2021-04-29 09:00 - 10:30 (Europe/Stockholm) | Virtual event, Sweden
In the context of project #43 on Process Debt, we are organizing a series of cross-company workshops led by Software Center companies.
In this one, Grundfos will share their case on “improving the business value of process” and will be followed by a cross-company discussion.
You are kindly invited to participate if interested! Also, feel free to invite any colleague who could be interested as well.
Title
Improving the business value of process (Theme “Assessing and sharing the value of process”)
Agenda

Case presentation (Grundfos, ca. 30 minutes)
X-company discussion (facilitated by Antonio)
Wrap-up

Lunch seminar "Analyzing software code using artificial neural networks"
2021-05-03 12:00 - 12:30 | MS Teams
Title: Analyzing software code using artificial neural networks
Speaker: Abu Naser Masud, Senior Lecturer, MDH
Description: Analyzing software code reveals many important aspects of the software such as bugs, security vulnerabilities, API recommendation, code similarity, code quality, etc. The dominant code analysis techniques include static and dynamic program analyses. However, artificial neural network (ANN) based source code analysis is a rising trend for the analysis of software. In this talk, I shall present the general methodology of ANN-based source code analysis and discuss the potentials and limitations of this technique.
Link to the recording of the presentation on YouTube:

Lunch seminar: Understanding Metrics Team-Stakeholder Communication
2021-05-11 08:00 - 17:00
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 team-stakeholder interaction, and negatively influence relationships and performance. In the session we will discuss the importance of understanding communicative hurdles and suggestions for their mitigation.
Speakers:
Dr. Nataliya Berbyuk Lindström, Associate Professor, University of Gothenburg
Dr. Dina Koutsikouri, Associate Professor, University of Gothenburg
Link to the recorded presentation on YouTube:
https://youtu.be/nVCTxo81wEM

Lunch seminar: Collaborative Traceability
2021-05-17 12:00 - 12:30 | Virtual event, Sweden
’Collaborative Traceability — Nine practices and why they (don’t) work’
Most welcome to the next Software Center Brown Bag seminar on 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.
Abstract:
Traceability information connects the artifacts created in a development process and allows, i.a., analysing the impact of changes, showing that all requirements are tested, and creating safety cases. However, traceability is elusive as it is, and treating it as a collaborative issue increases the complexity.
We have, together with practitioners, identified nine crucial collaborative traceability practices that support an organisation in implementing traceability in their development processes. These practices range from the practical, e.g., traceability dashboard, to the organisational, e.g., to have specific training for traceability. What is still unclear is why these practices are not always implemented, how to select the ones that are most promising for an organisation, and how organisations can adapt them to their own circumstances.
In this talk, we are going to discuss the challenges of collaborative traceability and which role the nine practices for collaborative traceability play to address them. We will dive into one of them, a cross-organisational traceability information model, to show some of the challenges we see in practice. The presentation will leave ample room for discussion and allow you, the audience, to help shape our understanding of this elusive, yet important topic.
Link to the recorded presentation on YouTube:
https://youtu.be/AjfsRo8plvA

workshop on Business Agility 2.0
2021-05-18 13:00 - 15:30
This is an invite for a follow-up workshop on ‘Business Agility 2.0: The system architecture and platform dimensions’.
The reason for a ‘follow-up’ workshop, is an agreement made during the workshop we organized on April 21st on the similar topics. The workshop received great attendance we had very good and interesting presentations and discussions. However, we were not able to cover all the items on the agenda. The request from the group was to have more time for discussing the system architecture and platform dimensions as well as to find a slot for the R&D ways-of-working dimension that we didn’t cover.
With this invite, we propose to continue our discussions on system architecture and platforms (as well as give space for the presentations we were not able to accommodate April 21st).
Also, and if there is time for the third topic (R&D ways-of-working), we include this as well. If there is not time for this discussion, we find a new slot for a workshop in which we focus on only the R&D ways-of-working (in the end of May).
We hope this finds you well and that those of you who are interested in continuing the April 21st discussions have the opportunity to join this follow-up workshop. Also, we hope for those who could not make yesterday’s workshop to be able to join this opportunity. Finally, we especially invite those companies who were not able to present yesterday due to time limitations, as well as companies that didn’t attend yesterday but that would be interested in presenting.
The questions we shared as the basis for presentations and discussions were the following:

System architecture: How do we design decoupling interfaces between the different technologies in the system (mechanics – electronics – software – data – AI) in order to allow for independent evolution on both sides of the interface?
Platform: How do we manage and/or reduce the number of variants derived from the platform in order to support continuous evolution of the system?
R&D ways-of-working: How do we align the R&D ways-of-working with the transition we currently experience in business models (where we are moving from transactional to more continuous monetization)? For example, to be able to experiment with new business models, the R&D ways-of-working need to support/enable this. Similarly, if complementing transactional models with more continuous models for monetization, R&D needs to align with this transition.

Ideally, we ask you to prepare 1 – 2 slides that can be shared with everyone during the meeting (we look for short presentations of 8 – 10 minutes/company). Please note that what we look for are your current ways-of-working and your current practices with regard to the three questions. It can also be the challenges you experience and how you typically deal with these. The main intention is to have everyone share and involve in a discussion where the result is to learn, to get ideas and to together identify common best practices for improving overall business agility.
Most welcome – and please help us share this within your organizations as we are eager to offer this opportunity to everyone who attended already and to people who might be interested but didn’t yet attend.

Coordination team meeting
2021-05-24 09:00 - 10:00, 2021-06-22 09:00 - 10:00, 2021-08-16 09:00 - 10:00, 2021-09-13 09:00 - 10:00, 2021-10-11 09:00 - 10:00 | Virtual event, Sweden

Lic seminar: Data management and Data Pipelines
2021-05-26 13:00 - 15:00 | Virtual event, Sweden
Data management and Data Pipelines: An empirical investigation in the embedded systems domain
Candidate: Aiswarya Raj Munappy
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 data management approach that can accelerate the development of high-quality data products. Further, AI is being applied in a growing number of fields and thus it is evolving as a horizontal technology. Consequently, AI components are increasingly been integrated into embedded systems along with electronics and software. We refer to these systems as AI-enhanced embedded systems. Given the strong dependence of AI on data, this expansion also creates a new space for applying data management techniques.
Objective: The overall goal of this thesis is to empirically identify the data management challenges encountered during the development and maintenance of AI-enhanced embedded systems, propose an improved data management approach and empirically validate the proposed approach.
Method: To achieve the goal, we conducted this research in close collaboration with Software Center companies using a combination of different empirical research methods: case studies, literature reviews, and action research.
Results and conclusions: This research provides five main results. First, it identifies key data management challenges specific to Deep Learning models developed at embedded system companies. Second, it examines the practices such as DataOps and data pipelines that help to address data management challenges. We observed that DataOps is the best data management practice that improves the data quality and reduces the time to develop data products. The data pipeline is the critical component of DataOps that manages the data life cycle activities. The study also provides the potential faults at each step of the data pipeline and the corresponding mitigation strategies. Finally, the data pipeline model is realized in a small piece of data pipeline and calculated the percentage of saved data dumps through the implementation.
Future work: As future work, we plan to realize the conceptual data pipeline model so that companies can build customized robust data pipelines. We also plan to analyse the impact and value of data pipelines in cross-domain AI systems and data applications. We also plan to develop AI-based fault detection and mitigation system suitable for data pipelines.
https://chalmers.zoom.us/j/69864251037

WAIN'21: 1st Workshop on AI Engineering
2021-05-30 08:00 - 2021-05-31 17:00 | Virtual event, Sweden
WAIN’21 – 1st Workshop on AI Engineering – Software Engineering for AI
The aim of the workshop is to bring together researchers and practitioners in software engineering, in data-science and AI, and to build up a community that will target the new challenges emerging in Software Engineering that AI/data-science engineers and software engineers are facing in development of AI-based systems. The workshop will be highly interactive: In addition to the invited keynotes and short paper presentations, there will be several discussion sessions. We plan to combine local and remote participation.
https://conf.researchr.org/home/icse-2021/wain-2021

Lunch seminar: Are you using the MNIST dataset to compare the algorithms?
2021-05-31 12:00 - 12:30 | Virtual event, Sweden
Presenter: David Issa Mattos (PhD student, Chalmers)
One of the most common tasks when developing a new tool is to benchmark it against competing tools. Both researchers and practitioners often look at the results of these benchmarks before selecting the appropriate tool. However, the quality of the benchmark greatly influences the results. In this presentation, we discuss how to evaluate if your benchmark has the appropriate difficulty level and is capable of differentiating the competing tools. We make an analogy with education and illustrate the assessment of benchmarks with two cases, one in datasets for automated labeling algorithms and the other in optimization algorithms. In both cases, the benchmarks are either too easy or too difficult and cannot be used to differentiate the tools.
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Deadline for new project proposals fr Sprint 21
2021-06-04 14:00 - 15:00 | Virtual event, Sweden

Deadline Sprint 21 project proposals
2021-06-11 23:30
Deadline Sprint 21 continued project proposals

System of Systems Engineering Conference
2021-06-14 - 2021-06-18
IEEE System, Man, and Cybernetics Society (SMC), in cooperation with the International Council on Systems Engineering (INCOSE), is organizing the 16th International Conference on System of Systems Engineering (SoSE) to be held in the Stockholm region, Sweden.
Systems of systems have vast ramifications in numerous engineering fields such as control, computing, communication, information technology and in applications such as manufacturing, defense, national security, aerospace, aeronautics, energy, environment, healthcare, and transportation. The conference theme is “Autonomous Cyber-Physical Systems of Systems”. Papers on theories, methodologies, and applications of System of Systems Engineering in science, technology, industry, and education are welcome.
The conference is planned to take place in the Stockholm region, in a hybrid format allowing for both digital participation and local presence.
Software Center is partnering with the organizing committee of the SoSE conference and plan for a co-located event focusing on Cyber-Physical Systems of Systems. Up-dates will follow!

Software Center Reporting Workshop and 10 years´ anniversary
2021-06-17 10:00 - 17:00 | Virtual event, Sweden
Location:
The event will be all digital over Teams and YouTube:

YouTube at this link: https://youtu.be/LDWTrkeHgYU
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Introduction:
In Software Center, companies and universities work together to accelerate the adoption of novel approaches to software engineering. The reporting workshop takes place twice a year, in June and December. This one day event aims at sharing results from research and cooperation within Software Center. The agenda ranges from key note presentations to in-depth sessions for themes and projects. The cooperation between academia and companies in Software Center creates the software engineering success stories that industry needs.
In 2021 we celebrate the first 10 years in Software Center!
Registration:
Please register at this link: https://forms.gle/F8ea6KTdjtzmG9Sf9

Agenda and links:
10:00-10:30: Opening: Jan Bosch
Recording of the presentation>>
10:30-11:00: Keynote presentation: Erik Ekudden, CTO of Ericsson
11:00-12:00: Community updates in parallel

Software engineering, chairs: Miroslaw Staron, Wilhelm Meding, Jan Carlson and Kristian Sandahl
11.00 – 11.30: SE Challenges and opportunities at Volvo Cars, Jonn Lantz and Kent Niesel
11.30 – 12.00: Who needs manual testing, anyway? Daniel Ståhl, Ericsson
Product management, chair: Helena H Olsson
The value of having a loyal Ecosystem and how to transition it in disruption: Anders Görtz, Global Product Manager Service Platform and IoT, Axis Communications
AI engineering, chair: Jan Bosch
Deep learning for autonomous driving – applications and development flows: Mikael Johansson, acting Head of AI Technologies, Autonomous Driving at Scania CV AB

12:00 – 13: 00 Lunch break
13:00 – 15:00: Up-dates from Software Center projects – parallel tracks (detailed up-date closer to the event):

Theme 1: Continuous delivery

13:00-13:30 Mob Programming: From Avant-Garde Experimentation to Established Practice (project 6, Daniel Ståhl)
13:30-14:00 Timing Properties and Scheduling in Distributed Systems (project 29, Marjan Sirjani)
14:00-14:30 Automated Root Cause Analysis for Flaky Tests produced by Randomness and Asynchronous Calls (project 30, Azeem Ahmad)
14.30-15:00 AI for Testing / Testing for AI: Where do investigated software center companies stand? (project 30, Azeem Ahmad)

Theme 2: Architecture

13:00–13:30 Managing Inconsistent Development Artefacts (project 35, Robbert Jongeling and Jan Carlson)
13:30–14:00 Machine Learning-based Characterization of Software Performance Regression (project 43, Masud Abu Naser)
14:00–14:40 Managing Architectural Technical Debt and Process Debt (projects 2 and 42, Antonio Martini, Terese Besker and Jan Bosch)
14:40–15:00 Q&A and group discussion

Theme 3: Metrics

13.00 – 13.30: Class and attribute noise reduction techniques: Khaled Al Sabbagh, Miroslaw Staron
13.30 – 14.00: Stakeholder mapping: Dina Koutsikouri, Nataliya Berbyuk Lindström
14.00 – 14.30: Software Development Productivity Metrics: Miroslaw Staron
14.30 – 15.00: Metric teams assessment and maturity visualization: Wilhelm Meding

Theme 4: Customer Data and Ecosystem Driven Development

13:00 – 13:30: Accelerating Digitalization Through Data (project 5): Helena H. Olsson and Jan Bosch
13:30 – 14:00: Ecosystem Driven R&D Management (project 9): Helena H. Olsson and Jan Bosch
14:00 – 14:30: RE for Large-Scale Agile Systems Development (project 27): Eric Knauss, Jennifer Horkoff and Jan-Philipp Steghöfer
14:30 – 15:00: Q&A and group discussion

Theme 5: AI Engineering

13:00 – 13:20: Experimentation in software intensive systems: David Issa Mattos
13:20 – 13:40: Semi-supervised learning: Teodor Fredriksson
14:30 – 14:00: Data pipelines for AI: Aiswarya Raj
14:00 – 14:20: Federated learning using AF-DNDF: Hongy Zhang
14:20 – 14:40: Towards MLOps: Meenu John
14:40 – 15:00: A/B testing with small sample sizes: Yuchu Liu

Afternoon plenary sessions:

15:15 – 15:45: Keynote presentation: Software, Data and AI: from research to industrial deployment
Sara Mazur, Director Strategic Research at Knut and Alice Wallenberg Foundation and Chair Wallenberg AI, Autonomous Systems and Software Program, WASP
15:45 – 16:15 Plans, reflections & closing: Jan Bosch
Recording of the presentation>>

Erik Ekudden, CTO Ericsson
Recording of the presentation >>
As Ericsson’s CTO, Erik Ekudden is responsible for setting the overall strategy and direction of technology leadership for Ericsson. In 2017 he re-located to Kista, Sweden, after nearly seven-years in Santa Clara, California.His focus for the group is on strategic decisions and investments in mobility, cloud, artificial intelligence and Internet of things. This builds on his decades-long career in technology strategies and industry activities with leading customers and partners from 2G to 5G and beyond. Ekudden first joined Ericsson in 1993 working on mobile systems,but rapidly moved into leadership within research and technology. He has served as research area director and vice president of technology strategy, standardization and industry.He holds a Master of Science degree in Electrical Engineering from the Royal Institute of Technology in Stockholm, Sweden. He is a member of the Royal Swedish Academy of Engineering Sciences (IVA).

Sara Mazur, Director Strategic Research at Knut and Alice Wallenberg Foundation and Chair Wallenberg AI, Autonomous Systems and Software Program, WASP
Recording of the presentation >>
Sara Mazur is Director Strategic Research at Knut and Alice Wallenberg Foundation and Chair Wallenberg AI, Autonomous Systems and Software Program, WASP.Prior to taking up these positions, Mazur was Vice President and Head of Research at Ericsson, responsible for all research at Ericsson globally and leading the global research organization Ericsson Research, a position she held 2012-2018. Mazur worked 23 years for Ericsson on advanced technology and research to strengthen Ericsson’s technical excellence and has held many management positions in the group.
Mazur is since 2013 member of the Board of Directors of Saab AB and since 2018 member of the Board of Directors of Investor AB. She is also member of the boards of Combient AB and Nobel Prize Outreach AB. Mazur holds a Master’s of Science degree and a Ph.D. in electrical engineering from the KTH Royal Institute of Technology in Sweden. She is also an appointed Associate Professor in Fusion Plasma Physics in the same institute. 2015 she was appointed Honorary Doctorate Luleå Tekniska Universitet. Mazur is the inventor of 69 granted patents and has authored several journal articles in international physics journals and conference papers on international conferences. She is the co-author of the book Handbook of antennas in wireless communication. Mazur maintains close ties with academia and research institutes.She is a member of the Royal Swedish Academy of Engineering Sciences (IVA), department XI, Education and Research, and previously member of the boards of Research Institutes of Sweden (RISE), Chalmers Technical University, and the School of Electrical Engineering at KTH, the Royal Institute of Technology.

Task force meeting for planning sprint 21
2021-06-18 13:00 - 16:00 | Virtual event, Sweden

Steering committee meeting
2021-06-22 10:00 - 13:00 | Virtual event, Sweden

General Assembly and strategy workshop
2021-08-16 13:00 - 17:00 | Virtual event, Sweden

Lunch seminar: Don’t let sample size stop your A/B experiments
2021-08-23 12:00 - 12:30 | Virtual event, Sweden
Most welcome to the next Software Center Brown Bag seminar which will be hosted by theme 4 (‘Customer Data and Ecosystem Driven Development’) on August 23rd, 12:00 – 12:30.
Our presenter is Yuchu Liu who is an industrial PhD student at Volvo Cars.
Please find the title and the abstract of the talk below. Also, attached to this e-mail are two recent papers by Yuchu in which she presents the research that works as the basis for this talk.
Abstract:
A/B testing is gaining attention in the automotive sector as a promising tool to measure casual effects from software changes. Different from the web-facing businesses where A/B testing is a well-established practice, the automotive domain often suffers from limited eligible users to participate in online experiments. To address this shortcoming, this talk describes how to run A/B testing with small sample sizes. In particular, the talk presents a method for designing balanced control and treatment groups so that sound conclusions can be drawn from experiments with small sample sizes. Based on case study research with companies in the automotive domain, the talk identifies the benefits and limitations of the A/B group design method.
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Please help us forward this invite to your colleagues if you feel that this talk might be in their interest!
We look forward to meet with you at the Brown Bag seminar series in August – and until then we wish all of you a very nice summer!

Regards,
Helena
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Lunch seminar: AI-Powered Fault Tolerance in Data Pipelines
2021-08-30 12:00 - 12:30 | Virtual event, Sweden
Welcome to the Software Center brown bag seminar organized by the AI engineering theme. The speaker is Aiswarya Raj, PhD student at Chalmers.
Abstract: A large volume of high-quality data is mission-critical for real-world AI applications. Data pipelines consolidate data from disparate sources into one common destination, enable quick data accessibility, and ensure consistent data quality, which is crucial for AI applications. Companies from all domains experience data quality issues and practitioners report that they spend a significant amount of time in data pre-processing. Thus, validating the quality of data is critical for establishing the trustworthiness of data pipelines, but is mostly a challenging task of complex real-world applications. State-of-the-practice solutions require explicit domain expertise and are often implemented using a rule-based fault detection system. However, due to the evolving nature of the data (data drifts), it is difficult to anticipate all faults associated with data that may occur in the data pipeline. Therefore, in this talk, the main focus will be on employing AI in the data pipeline for the detection of such faults and invoking corresponding mitigation strategies. We use a four-stage model to implement the AI-powered fault-tolerant data pipelines. From a research perspective, the main benefit of the project is to enable companies to develop a data pipeline that delivers high-quality data products. To companies, project results will help to reduce the amount of data pre-processing work done by data scientists, data analysts and other AI practitioners while working with data, which in turn accelerates the entire AI system development process.
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Lunch seminar: Individual test designer performance
2021-09-06 12:00 - 12:30 | Virtual event, Sweden
Lunch seminar hosted by Theme1:
Individual test designer performance – an elephant in the room or an asset for improvement?
Speaker: Kristian Sandahl Linköping university
It is often heard that the quality of test code suffers compared to production code. A frequent problem is flaky tests, where it is time consuming to determine the credibility of the test. The underlying assumption of this planned research is that probable causes can depend on the way humans design test cases and that a good part of the problems might have been discovered with static analysis of the test code. Remedies can be sought in identifying training needs, finding good patterns for test design, and applying automatic code repair.
This research involves acquiring sensitive information, and I would like to discuss with the audience how this can be handled. I will share some past experience to get us started.
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Design Methods and Processes for ML/DL Models
2021-09-09 09:00 - 11:00 | Virtual event, Sweden
Welcome to Meenu Mary John´s licentiate seminar!
Meenu defends her licentiate thesis: Design Methods and Processes for ML/DL Models

Opponent: Professor Maria Paasivaara, LUT University, Finland
Examiner: Professor Jan Persson, Malmö University
Chair of the seminar: Professor Helena Holmström Olsson

Abstract:
Context: With the advent of Machine Learning (ML) and especially Deep Learning (DL) technology, companies are increasingly using Artificial Intelligence (AI) in systems, along with electronics and software. Nevertheless, the end-to-end process of developing, deploying and evolving ML and DL models in companies brings some challenges related to the design and scaling of these models. For example, access to and availability of data is often challenging, and activities such as collecting, cleaning, preprocessing, and storing data, as well as training, deploying and monitoring the model(s) are complex. Regardless of the level of expertise and/or access to data scientists, companies in all embedded systems domain struggle to build high-performing models due to a lack of established and systematic design methods and processes.
Objective: The overall objective is to establish systematic and structured design methods and processes for the end-to-end process of developing, deploying and successfully evolving ML/DL models.
Method: To achieve the objective, we conducted our research in close collaboration with companies in the embedded systems domain using different empirical research methods such as case study, action research and literature review.
Results and Conclusions: This research provides six main results: First, it identifies the activities that companies undertake in parallel to develop, deploy and evolve ML/DL models, and the challenges associated with them. Second, it presents a conceptual framework for the continuous delivery of ML/DL models to accelerate AI-driven business in companies. Third, it presents a framework based on current literature to accelerate the end-to-end deployment process and advance knowledge on how to integrate, deploy and operationalize ML/DL models. Fourth, it develops a generic framework with five architectural alternatives for deploying ML/DL models at the edge. These architectural alternatives range from a centralized architecture that prioritizes (re)training in the cloud to a decentralized architecture that prioritizes (re)training at the edge. Fifth, it identifies key factors to help companies decide which architecture to choose for deploying ML/DL models. Finally, it explores how MLOps, as a practice that brings together data scientist teams and operations, ensures the continuous delivery and evolution of models.
Link to DiVA
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ECSA´21: European Conference on Software Architecture
2021-09-13 - 2021-09-17 | Virtual event, Sweden
The European Conference on Software Architecture (ECSA) is the premier European software architecture conference and we are now organising its 15th edition.

Deadline for paper submission to the Industry Track is extended to May 13, 2021.

Software Center contact: Marjan Sirjani, Mälardalen University, PC Chair of ECSA 2021 Industry Track

Lunch seminar: "Macrodebts" in microservices
2021-09-13 12:00 - 12:30 | Västerås, Västerås, Sweden
Welcome to another Software Center lunch seminar, this time from theme 2:
“Macrodebts” in microservices: understanding and managing them
Speakers: Antonio Martini and Saulo Soares de Toledo
The microservices architectural style is increasing in popularity because it helps companies deliver value to their customers fast and continuously. However, a microservice architecture is prone to costly architectural technical debt (ATD), if not timely identified and avoided or removed. The most important ATDs must be prioritized. Still, there is limited knowledge regarding the identification and prioritization of ATD in companies developing or migrating to microservices. We conducted a set of studies in 10 companies on the identification and management of ATD in microservices. We propose a prioritization strategy by presenting data from experienced companies, and we measure the benefits and costs of reducing ATD in microservices. Other organizations may use the information shared to help identify and manage ATDs in microservices in their own contexts.
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Metrics lunch seminar
2021-09-20 12:00 - 12:30 | Virtual event, Sweden
Deep neural networks trained on source code have been shown to automate routine development tasks such as code completion, comments generation, etc. But is such an AI expert in coding also an expert in software design? With design often being considered as a specialist skill, what do we do to ensure that the model understands nuances of SW design? Ensuring this opens up possibilities of automating design-related tasks. This talk will introduce our first experiments in taking a deep learning approach to SW design.
Speaker: Dhasarathy Parthasarathy, Principal Research Engineer, Volvo Group
Looking forward to see you all next Monday!
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Lunch seminar: Move the world easy & sustainable
2021-09-27 12:00 - 12:30 | Virtual event, Sweden
Most welcome to the next Software Center Brown Bag seminar hosted by theme 4 (‘Customer Data and Ecosystem Driven Development’), September 27th at 12:00 – 12:30.
At the seminar, we will get to learn about our most recent Software Center member company, Toyota Material Handling, and the ways in which digitalization is experienced in this domain.
As our speaker, we have the privilege to present Roger Westman, Manager of Program and Systems Management, Toyota Material Handling.
Abstract
Almost everything you own has been moved placed on a pallet. Moving goods such as milk packages, clothes, medication, candy and more is a part of a vital bloodstream in our society. How does it work when goods are moved around in warehouses and production facilities and what does digitalization mean to us who work in this business? Introducing Toyota Material Handling Logistics Solution and what the digitalization journey, including self-driving vehicles and robots, means for us.
Most welcome to the seminar and please share this invite with your colleagues!
Also, please note that everyone interested in getting the invites for the Brown Bag seminars can sign up using the following link:
https://lists.chalmers.se/mailman/listinfo/sc_bb
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Mid-sprint steering committee meeting
2021-10-04 10:00 - 13:00 | Virtual event, Sweden

Lunch seminar: Ericsson Research - what’s in it for me?
2021-10-11 12:00 - 12:30 | Virtual event, Sweden
You are very welcome to a brownbag seminar by Anders Aronsson from Ericsson Research where he will talk about their research and how it impacts society.
Abstract:
Who are we at Ericsson Research in Gothenburg and what are we really doing?
What does “research” mean within our company, and how does it look like?
Some examples and how we aim to make an impact on our society.
Warm welcome!
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