Software Center

Flaky Test Workshop
2021-11-17 09:00 - 12:00 (Europe/Stockholm) | Virtual event, Sweden
We are organising an online workshop with the dedicated subject of flaky tests. The details together with agenda is as follows:

Welcome, project overview, and introduction with each other (Kristian) – 15 minutes
Jean presentation (20 minutes for presentation)

General-purpose static analysers on Test code – What did we learn?

Defining the vocabulary of flaky tests – what is flaky test and what is not flaky test? (20 minutes) – Azeem

Kahoot (game) – What flakiness means to you (10 minutes) – Azeem

Flaky tests – work at LiU (Azeem)

Multifactor detection (5 minutes)
Divergence algorithm (5 minutes)
Machine learning algorithm (5 minutes)
Professional’s perception vs test artifacts (5 minutes)
Flaky tests vs individuals developers/testers (10 minutes)

Discussion (30 minutes)
Idea for future sprints and how can we help companies (20 minutes)
End

See you in the workshop!
Warm regards,
Azeem & AAT3 Team
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Lunch seminar: OpenAI and CodeX
2021-11-15 12:00 - 12:30 | Virtual event, Sweden
The seminar OpenAI and CodeX – state-of-the-art in using AI for programming tasks – in the context of Software Center is hosted by theme 5 (AI Engineering) and the presentation is given by Miroslaw Staron, professor at Chalmers and Gothenburg University and the leader of theme 3.
OpenAI consortium has developed a beta version of a powerful AI model, capable of writing software based on natural language description of an algorithm. This model, CodeX, is capable of such tasks as re-writing the same program from one programming language to another, or defect removal. In this talk, we will take this CodeX model for a test drive, checking how it behaves for non-trivial programming tasks, check how it deals with fixing defects in our own code and compare its possibilities to the models developed in software center in this area.

State-of-the-art in using AI for programming tasks
2021-11-15 12:00 - 12:30 | Virtual event, Sweden
Most welcome to the Software Center Brown Bag seminar on November 15th:
OpenAI and CodeX – state-of-the-art in using AI for programming tasks – in the context of Software Center
The seminar is hosted by theme 5 (AI Engineering) and the presentation is given by Miroslaw Staron, professor at Chalmers and Gothenburg University and the leader of theme 3.
Presenter: Miroslaw Staron
OpenAI consortium has developed a beta version of a powerful AI model, capable of writing software based on natural language description of an algorithm. This model, CodeX, is capable of such tasks as re-writing the same program from one programming language to another, or defect removal. In this talk, we will take this CodeX model for a test drive, checking how it behaves for non-trivial programming tasks, check how it deals with fixing defects in our own code and compare its possibilities to the models developed in software center in this area.
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Coordination team meeting
2021-11-15 09:00 - 10:00, 2021-10-11 09:00 - 10:00, 2021-09-13 09:00 - 10:00, 2021-08-16 09:00 - 10:00, 2021-06-22 09:00 - 10:00 | Virtual event, Sweden

Lunch seminar: Why data for AI needs context
2021-11-08 12:00 - 12:30 | Virtual event, Sweden
Most welcome to the Software Center Brown Bag seminar on November 8th:
”Setting AI in context: Why data for AI needs context”
The seminar is hosted by theme 4 (‘Customer Data and Ecosystem Driven Development’) and we are happy to welcome Hans-Martin Heyn as our speaker. Hans-Martin is a Postdoctoral researcher at the Department of Computer Science and Engineering at Chalmers/University of Gothenburg.
For automated driving systems the operational context needs to be known in order to state guarantees on performance and safety. We show, based on semi-structured interviews, that major uncertainties exist in how to clearly define and document the operational context in a diverse and distributed development environment such as the automotive industry. This is problematic especially for systems using machine learning, because data attributes and data quality for training and validation depends on the assumed context of the system. Based on Design Science Research, we propose a Data Quality Assessment and Maintenance Framework, to systematically manage data quality and related requirements.
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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Lunch seminar: Improving Machine Learning-based Test Case Selection
2021-11-01 12:00 - 12:30 | Virtual event, Sweden
Welcome to the next Brown bag seminar: Noise Handling for Improving Machine Learning-based Test Case Selection
This week, our doctoral candidate Khaled Al-Sabbagh will present his research about noise selection – which is a preparation for his Licentiate seminar.
Background:
Continuous integration is a modern software engineering practice that promotes for continuously integrating and testing new code changes as soon as they get submitted to the project repository. One challenge in continuous integration concerns the ability to select a subset of test cases that have the highest probability of revealing faults during each integration cycle. The availability of large amounts of data about code changes and executed test cases in continuous integration systems poses an opportunity to design data-driven approaches that can effectively select test cases for regression testing.
Objective: The objective of this thesis is to create a method for selecting test cases that have the highest probability of revealing faults in the system, given new code changes pushed into the code-base. Using historically committed source code and their respective executed test cases, we can utilize textual analysis and machine learning to design a method, called MeBoTS, that can learn the selection of test cases.
Method: To address this objective, we carried out two design science research cycles and two controlled experiments. A combination of quantitative and qualitative data collection methods were used, including testing and code commits data, surveys, and a workshop, to evaluate and improve the effectiveness of MeBoTS in selecting effective test cases.
Results: The main findings of this thesis are that: 1) using an elimination and a re-labelling strategy for handling class noise in the data increases the performance of MeBoTS from 25% to 84% (F1-score), 2) eliminating attribute noise from the training data does not improve the predictive performance of a test selection model (F1-score remains unchanged at 66%), and 3) memory management changes in the source code should be tested with performance, load, soak, stress, volume, and capacity tests; the algorithmic complexity changes should be tested with the same tests for memory management code changes in addition to maintainability tests.
Conclusion: Our first conclusion is that textual analysis of source code can be effective in test case selection if a class noise handling strategy is applied for curating incorrectly labeled data points in the training data. Secondly, test orchestrators do not need to handle attribute noise in the data, since it does not lead to an improvement in the performance of MeBoTS. Finally, we conclude that the performance of MeBoTS can be improved by instrumenting a tool that automatically associates code changes of specific types to test cases that are in dependency for training.
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Lunch seminar: Continuous safety conformance - but, what is safety?
2021-10-25 12:00 - 12:30 | Virtual event, Sweden
Welcome to the next Software Center Brown Bag seminar hosted by theme 2: Continuous safety conformance/compliance/self-assessment…WOW! But, what is safety?
Speaker: Barbara Gallina, associate professor, Mälardalen University
In this talk, first, we will recall the notion of safety. Then, we will provide a possible solution for continuous safety conformance/compliance/self-assessment based on OSLC (Open Services for Lifecycle Collaboration).
Most welcome to the seminar and please share this invite with your colleagues!
Also, please note that everyone interested in getting invites for future Brown Bag seminars can sign up using the following link:
https://lists.chalmers.se/mailman/listinfo/sc_bb

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Lunch seminar: Biases in testing - how aware are we?
2021-10-18 12:00 - 12:30 | Virtual event, Sweden
Brown-Bag seminar by Theme1: Biases in testing: how aware are we?

In our current research work, we investigate the influence of prior beliefs, expectations, preconceptions, and biases on testing and test automation. As a first step, we studied the awareness of the industry regarding this topic by surveying test practitioners from all over Europe. In this seminar, we will outline some of the preliminary results.

Speakers: Eduard Paul Enoiu, MdH, Alexandru Cusmaru, Siemens

Warmly Welcome!
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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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Mid-sprint steering committee meeting
2021-10-04 10:00 - 13:00 | Virtual event, Sweden

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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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: "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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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

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

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

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

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.

System of Systems Engineering Conference
2021-06-14 - 2021-06-18 | Sweden
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!

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

Deadline for new project proposals fr Sprint 21
2021-06-04 14:00 - 15:00 | Virtual event, Sweden

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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