Sökning: "Felrapporter"

Visar resultat 1 - 5 av 14 uppsatser innehållade ordet Felrapporter.

  1. 1. Kvalitetskritiskt material : En fallstudie på Hitachi Energy Power Transformers

    Kandidat-uppsats, Högskolan i Gävle/Industriell ekonomi

    Författare :Jenny Lindblad; Emilia Selander; [2023]
    Nyckelord :Quality; Quality critical material; Quality deficiency cost; Hidden quality deficiency cost; Quality deviation; Deviation report; Kvalitet; Kvalitetskritiskt material; kvalitetsbristkostnad; dolda kvalitetsbristkostnader; kvalitetsavvikelse; avvikelserapportering;

    Sammanfattning : Under de senaste åren har en betydande ökning av elförbrukningen rapporterats. Som en följd av detta ökar efterfrågan på produkter och komponenter relaterade till elnätet på marknaden. Hur industrier samtidigt säkerställer produktkvalitet och kontrollerar tillverkningskostnader är uppenbart viktigt för de relevanta branscherna. LÄS MER

  2. 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

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Viktor Karlstrand; [2022]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  3. 3. Integrating Telecommunications-Specific Language Models into a Trouble Report Retrieval Approach

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Nathan Bosch; [2022]
    Nyckelord :information retrieval; neural ranking; trouble reports; log analysis; natural language processing; informationssökning; neural rangordning; felrapporter; logganalys; naturlig språkbehandling;

    Sammanfattning : In the development of large telecommunications systems, it is imperative to identify, report, analyze and, thereafter, resolve both software and hardware faults. This resolution process often relies on written trouble reports (TRs), that contain information about the observed fault and, after analysis, information about why the fault occurred and the decision to resolve the fault. LÄS MER

  4. 4. Natural Language Processing Model for Log Analysis to Retrieve Solutions For Troubleshooting Processes

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Núria Marzo i Grimalt; [2021]
    Nyckelord :Trouble Report; Recommender System; BERT; Information Retrieval; Natural Language Processing; Multi-Stage Ranking; Felrapporter; Rekommendatorsystem; BERT; Informationsinhämtning; Naturlig Språkbehandling; Dubbelriktade Ranking;

    Sammanfattning : In the telecommunications industry, one of the most time-consuming tasks is troubleshooting and the resolution of Trouble Report (TR) tickets. This task involves the understanding of textual data which can be challenging due to its domain- and company-specific features. LÄS MER

  5. 5. Grouping Similar Bug Reports from Crash Dumps with Unsupervised Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sara Vestergren; [2021]
    Nyckelord :Unsupervised Learning; Bug Report; Duplicate Detection; Clustering; Software Crash; Oövervakad Inlärning; Felrapport; Dublett-detektering; Klustring; Mjukvarukrasch;

    Sammanfattning : Quality software usually means high reliability, which in turn has two main components; the software should provide correctness, which means it should perform the specified task, and robustness in the sense that it should be able to manage unexpected situations. In other words, reliable systems are systems without bugs. LÄS MER