Sökning: "executions"
Visar resultat 1 - 5 av 90 uppsatser innehållade ordet executions.
1. Evaluating Performance of Pattern Searching Algorithms on Wildcard Patterns
Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : The pattern matching problem is the problem of finding a set of sequential characters in a text of equal amount of characters or more. There are many applications for pattern matching algorithms e.g. search engines and databases. LÄS MER
2. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. LÄS MER
3. Implementing and comparing challengers to popular multi-objective algorithms for unit test cases generation
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknikSammanfattning : The topic of multi-objective algorithms has been researched for many years, where hundreds of multi-objective algorithms have been developed. With the field of search-based software engineering attracting use-cases, more research on which algorithms are fitting the area is still lacking. LÄS MER
4. Behavioural comparison of test and field executions of video games
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Software developers write tests to ensure that their application behaves as intended. However, the behaviour of an application in production may deviate from the behaviours that are tested. This difference between test and field executions is rarely assessed in practice. LÄS MER
5. Supervised Failure Diagnosis of Clustered Logs from Microservice Tests
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Pinpointing the source of a software failure based on log files can be a time consuming process. Automated log analysis tools are meant to streamline such processes, and can be used for tasks like failure diagnosis. This thesis evaluates three supervised models for failure diagnosis of clustered log data. LÄS MER