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Inbyggda system finns i nästan alla enheter som används i vårt dagliga liv, som exempelvis mobiltelefoner, kylskåp och bilar. En del enheter kan vara betydligt känsligare än andra, vilket innebär att en bugg som existerar i ett system kan orsaka skada, till och med förlust av människoliv, eller orsakar ingen skada alls. Mjukvarutestning och mjukvarufelsökning genomförs för att reducera buggar i ett system.Utbildningsprogrammet Datateknik och Mobil IT på Malmö universitet fokuserar inte på att undervisa mjukvarufelsökning med hjälp av felsökningsverktyg. Således presenterar denna forskning en felsökningslaboration skapat för studenter som går Datateknik och Mobil IT, som anses hjälpa studenterna att få kunskap i hur man använder felsökningsverktyget SAM4E Xplained Pro för att lokalisera buggar. Som ett resultat, utfördes felsökningslaborationen av fyra studenter varav 75 procent av buggarna hittades och åtgärdades. / Embedded systems are found in almost every device used in our daily lives, including cell phones, refrigerators, and cars. Some devices may be significantly more sensitive than others, meaning a bug appearing in a system could cause harm, even loss of human lives or cause no harm at all. To reduce bugs in a system, software testing and software debugging are performed.The Computer Science program at Malmö University does not focus on teaching software debugging using a debugger. Thus, this thesis presents a debugging lab created for Computer Science students, considered to help them gain knowledge in how to use the debugger SAM4E Xplained Pro to locate bugs. As a result, four students performed the debugging lab of which 75 percent of the bugs were found and remedied.

Context: Bug fixing is the process of ensuring correct source code and is done by developer. Automated debugging and bug fixing solutions minimize human intervention and hence minimize the chance of producing new bugs in the corrected program. Scope and Objectives: In this study we performed a detailed systematic literature review. The scope of work is to identify all those solutions that correct software automatically or semi-automatically. Solutions for automatic correction of software do not need human intervention while semi-automatic solutions facilitate a developer in fixing a bug. We aim to gather all such solutions to fix bugs in design, i.e., code, UML design, algorithms and software architecture. Automated detection, isolation and localization of bug are not in our scope. Moreover, we are only concerned with software bugs and excluding hardware and networking domains. Methods: A detailed systematic literature review (SLR) has been performed. A number of bibliographic sources are searched, including Inspec, IEEE Xplore, ACM digital library, Scopus, Springer Link and Google Scholar. Inclusion/exclusion, study quality assessment, data extraction and synthesis have been performed in depth according to guidelines provided for performing SLR. Grounded theory is used to analyze literature data. To check agreement level between two researchers, Kappa analysis is used. Results: Through SLR we identified 46 techniques. These techniques are classified in automated/semi-automated debugging and bug fixing. Strengths and weaknesses of each of them are identified, along with which types of bugs each can fix and in which language they can be implement. In the end, classification is performed which generate a list of approaches, techniques, tools, frameworks, methods and systems. Along, this classification and categorization we separated bug fixing and debugging on the bases of search algorithms. Conclusion: In conclusion achieved results are all automated/semi-automated debugging and bug fixing solutions that are available in literature. The strengths/benefits and weaknesses/limitations of these solutions are identified. We also recognize type of bugs that can be fixed using these solutions. And those programming languages in which these solutions can be implemented are discovered as well. In the end a detail classification is performed. / alla automatiska / halvautomatiska felsökning och felrättning lösningar som är tillgängliga i litteraturen. De styrkor / fördelar och svagheter / begränsningar av dessa lösningar identifieras. Vi erkänner också typ av fel som kan fastställas med hjälp av dessa lösningar. Och de programmeringsspråk där dessa lösningar kan genomföras upptäcks också. Till slut en detalj klassificering utförs / +46 763 23 93 87, +46 70 966 09 51