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DTSTART;TZID=Europe/Stockholm:20211101T120000
DTEND;TZID=Europe/Stockholm:20211101T123000
DTSTAMP:20260524T173743
CREATED:20211025T144336Z
LAST-MODIFIED:20211025T144336Z
UID:3761-1635768000-1635769800@www.software-center.se
SUMMARY:Lunch seminar: Improving Machine Learning-based Test Case Selection
DESCRIPTION:Welcome to the next Brown bag seminar: Noise Handling for Improving Machine Learning-based Test Case Selection \nThis week\, our doctoral candidate Khaled Al-Sabbagh will present his research about noise selection – which is a preparation for his Licentiate seminar. \nBackground:\nContinuous 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. \nObjective: 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. \nMethod: 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. \nResults: 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. \nConclusion: 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. \n__________________________________________ \nMicrosoft Teams meeting \nJoin on your computer or mobile app \nClick here to join the meeting \nLearn More | Meeting options \n__________________________________________ \n— Sc_bb mailing list Sc_bb@lists.chalmers.sehttps://lists.chalmers.se/mailman/listinfo/sc_bb
URL:https://www.software-center.se/event/lunch-seminar-improving-machine-learning-based-test-case-selection/
LOCATION:Virtual event\, Sweden
CATEGORIES:Lunch seminar
ORGANIZER;CN="Miroslaw Staron":MAILTO:Miroslaw.Staron@cse.gu.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211108T120000
DTEND;TZID=Europe/Stockholm:20211108T123000
DTSTAMP:20260524T173743
CREATED:20211031T175855Z
LAST-MODIFIED:20211031T180024Z
UID:3781-1636372800-1636374600@www.software-center.se
SUMMARY:Lunch seminar: Why data for AI needs context
DESCRIPTION:Most welcome to the Software Center Brown Bag seminar on November 8th:\n”Setting AI in context: Why data for AI needs context”\nThe 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. \nFor 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. \nMost welcome to the seminar and please share this invite with your colleagues! \nAlso\, 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 \n______________________________________________________ \nMicrosoft Teams meeting \nJoin on your computer or mobile app \nClick here to join the meeting \nOr call in (audio only) \n+46 8 505 252 11\,\,335136139#   Sweden\, Stockholm \nPhone Conference ID: 335 136 139# \nFind a local number | Reset PIN \nLearn More | Meeting options \n______________________________________________________ \n— Sc_bb mailing list Sc_bb@lists.chalmers.se https://lists.chalmers.se/mailman/listinfo/sc_bb
URL:https://www.software-center.se/event/lunch-seminar-why-data-for-ai-needs-context/
LOCATION:Virtual event\, Sweden
CATEGORIES:Lunch seminar
ORGANIZER;CN="Helena Holmstr%C3%B6m Olsson":MAILTO:helena.holmstrom.olsson@mau.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211115T120000
DTEND;TZID=Europe/Stockholm:20211115T123000
DTSTAMP:20260524T173743
CREATED:20211108T210814Z
LAST-MODIFIED:20211108T210814Z
UID:3958-1636977600-1636979400@www.software-center.se
SUMMARY:State-of-the-art in using AI for programming tasks
DESCRIPTION:Most welcome to the Software Center Brown Bag seminar on November 15th:\nOpenAI and CodeX – state-of-the-art in using AI for programming tasks – in the context of Software Center \nThe 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. \nPresenter: Miroslaw Staron \nOpenAI 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. \n____________________________________________\nMicrosoft Teams meeting \nJoin on your computer or mobile app \nClick here to join the meeting \nLearn More | Meeting options \n____________________________________________\n— Sc_bb mailing list Sc_bb@lists.chalmers.sehttps://lists.chalmers.se/mailman/listinfo/sc_bb
URL:https://www.software-center.se/event/state-of-the-art-in-using-ai-for-programming-tasks/
LOCATION:Virtual event\, Sweden
CATEGORIES:Lunch seminar
ORGANIZER;CN="Jan Bosch":MAILTO:jan.bosch@chalmers.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211115T120000
DTEND;TZID=Europe/Stockholm:20211115T123000
DTSTAMP:20260524T173743
CREATED:20211201T220326Z
LAST-MODIFIED:20211201T220326Z
UID:4109-1636977600-1636979400@www.software-center.se
SUMMARY:Lunch seminar: OpenAI and CodeX
DESCRIPTION: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. \nOpenAI 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. \n  \n 
URL:https://www.software-center.se/event/lunch-seminar-openai-and-codex/
LOCATION:Virtual event\, Sweden
CATEGORIES:Lunch seminar
ORGANIZER;CN="Miroslaw Staron":MAILTO:Miroslaw.Staron@cse.gu.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20211129T120000
DTEND;TZID=Europe/Stockholm:20211129T123000
DTSTAMP:20260524T173743
CREATED:20211126T103935Z
LAST-MODIFIED:20211126T103935Z
UID:4081-1638187200-1638189000@www.software-center.se
SUMMARY:Lunch seminar: Consistent development artifacts
DESCRIPTION:Welcome to the next Software Center lunch seminar hosted by theme 2: Consistent development artifacts – a reality check \nSpeaker: Jan Carlson\, Mälardalen University \n \nDevelopment of complex software of high quality can involve a number of artifacts in addition to the produced code\, from requirement documents\, models at architectural and design level to test suits. As development becomes more agile\, these artifacts must be allowed to evolve concurrently\, while still retaining a sufficient level of consistency between them (or at least being aware of inconsistencies). This talk addresses the topic of consistency and synchronization between different development artefacts and how this relates to the push towards shorter development cycles. Different kinds of consistency challenges will be presented\, as well as to what extent existing solutions proposed by academia are suitable in concrete industrial contexts. \nMost welcome to the seminar and please share this invitation with your colleagues! \nAlso\, please note that everyone interested in getting invitation to future lunch seminars can sign up using the following link: https://lists.chalmers.se/mailman/listinfo/sc_lunchseminars \n\n\n  \n_________________________________________\nMicrosoft Teams-möte\n\n\nJobba på datorn eller mobilappen\nKlicka här för att ansluta till mötet\n\nEller ring in (endast ljud)\n+46 8 505 218 36\,\,915731636#   Sweden\, Stockholm\n\nTelefonkonferens-ID: 915 731 636# \nHitta ett lokalt nummer | Återställ PIN-kod\nLäs mer | Mötesalternativ\n\n\n__________________________________________\n— SC_LunchSeminars mailing list SC_LunchSeminars@lists.chalmers.sehttps://lists.chalmers.se/mailman/listinfo/sc_lunchseminars
URL:https://www.software-center.se/event/lunch-seminar-consistent-development-artifacts/
LOCATION:Virtual event\, Sweden
CATEGORIES:Lunch seminar
ORGANIZER;CN="Jan Carlson":MAILTO:jan.carlson@mdh.se
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