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Found 4 essays matching the above criteria.

  1. 1. A Case Study on the Limitations of Automated Duplicate Bug Report Detection

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Malte Götharsson; Karl Stahre; [2023-09-26]
    Keywords : ;

    Abstract : Identifying duplicate bug reports is crucial in software development as it helps streamline the debugging process, reduce redundancy, and enhance overall efficiency. By addressing the challenges associated with existing automated techniques and leveraging testers’ expertise, the tool proposed in this study aims to improve the accuracy of duplicate detection, saving valuable time and resources while ensuring that potential duplicates are not overlooked. READ MORE

  3. 2. Duplicate detection of multimodal and domain-specific trouble reports when having few samples : An evaluation of models using natural language processing, machine learning, and Siamese networks pre-trained on automatically labeled data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Viktor Karlstrand; [2022]
    Keywords : Duplicate detection; Bug reports; Trouble reports; Natural language processing; Information retrieval; Machine learning; Siamese neural network; Transformers; Automated data labeling; Shapley values; Dubblettdetektering; Felrapporter; Buggrapporter; Naturlig språkbehandling; Informationssökning; Maskininlärning; Siamesiska neurala nätverk; Transformatorer; Automatiserad datamärkning; Shapley-värden;

    Abstract : Trouble and bug reports are essential in software maintenance and for identifying faults—a challenging and time-consuming task. In cases when the fault and reports are similar or identical to previous and already resolved ones, the effort can be reduced significantly making the prospect of automatically detecting duplicates very compelling. READ MORE

  4. 3. Cluster Analysis with Meaning : Detecting Texts that Convey the Same Message

    University essay from Linköpings universitet/Interaktiva och kognitiva system

    Author : Fredrik Öhrström; [2018]
    Keywords : nlp; text mining; clustering; semantic meaning; text clustering; semantic duplicates; simplified technical english; duplicate detection; dbcv; doc2vec; etteplan;

    Abstract : Textual duplicates can be hard to detect as they differ in words but have similar semantic meaning. At Etteplan, a technical documentation company, they have many writers that accidentally re-write existing instructions explaining procedures. These "duplicates" clutter the database. This is not desired because it is duplicate work. READ MORE

  5. 4. Measuring Semantic Distances between Software Artifacts to Consolidate Issues from the Development and the Field

    University essay from Lunds universitet/Institutionen för datavetenskap

    Author : Mahmoud Nasser; [2017]
    Keywords : information retrieval technology; semantic distances; issue management; issue maintenance; traceability link retrieval; Technology and Engineering;

    Abstract : Identifying and keeping track of different structural representations of functionally overlapping issues is important in order to keep a well maintained issue management corpus, establishing efficient and organized response ability to develop and code software patches repairing these issues and defects. This is normally achieved by manual, time-costly reviewing-processes by special teams put up to this task. READ MORE