Sökning: "DM Good"

Visar resultat 1 - 5 av 22 avhandlingar innehållade orden DM Good.

1. 1. Foundation of Multi-Criteria Quality Scoring

   Författare :Maria Ulan; Anna Wingkvist; Harald Störrle; Linnéuniversitetet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data- och informationsvetenskap; Computer and Information Sciences Computer Science;

   Sammanfattning : Software quality becomes more critical as our dependence on software increases. We need better quality assessment than ever. Comparison and ranking of software artifacts, detection of bad or good quality are important tasks for quality assessment.Software quality models are widely used to support quality assessment. LÄS MER

3. 2. Incremental Clustering of Source Code : a Machine Learning Approach

   Författare :Tobias Olsson; Morgan Ericsson; Sebastian Herold; Linnéuniversitetet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Machine Learning; Naive Bayes; Source Code Clustering; Incremental Clustering; Software Architecture; Technical Debt; Computer Science; Datavetenskap;

   Sammanfattning : Technical debt at the architectural level is a severe threat to software development projects. Uncontrolled technical debt that is allowed to accumulate will undoubtedly hinder speedy development and maintenance, introduce bugs and problems in the software product, and may ultimately result in the abandonment of the source code. LÄS MER

4. 3. Aggregation as Unsupervised Learning in Software Engineering and Beyond

   Författare :Maria Ulan; Welf Löwe; Neil Ernst; Linnéuniversitetet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; quality assessment; quantitative methods; aggregation; multi-criteria decision making; unsupervised machine learning; Data- och informationsvetenskap; Computer and Information Sciences Computer Science;

   Sammanfattning : Ranking alternatives is fundamental to effective decision making. However, creating an overall ranking is difficult if there are multiple criteria, and no single alternative performs best across all criteria. Software engineering is no exception. LÄS MER

5. 4. Dark matter signal normalisation for dwarf spheroidal galaxies : A frequentist analysis of stellar kinematics for indirect Dark Matter searches

   Författare :Andrea Chiappo; Jan Conrad; Piero Ullio; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; dark matter; dwarf galaxies; kinematics and dynamics of galaxies; fysik; Physics;

   Sammanfattning : Indirect detection strategies of Dark Matter (DM) entail searching for signals of DM annihilation or decay, typically in the form of excess positrons or high-energy photons above the astrophysical background, originating from (inferred) DM-rich environments. Due to their characteristics, dwarf spheroidal satellite galaxies (dSphs) of the Milky Way are considered very promising targets for indirect particle DM identification. LÄS MER

7. 5. Prior-less derivation of the astrophysical factor of Dwarf Spheroidal galaxies

   Författare :andrea chiappo; jan dr. conrad; garrelt mellema; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; dwarf galaxies; dark matter; fysik; Physics;

   Sammanfattning : Dwarf spheroidal satellite galaxies (dSphs) of the Milky Way are considered ideal targets for particle Dark Matter (DM) identification. Indirect detection strategies entail examining dSphs in search for signals of annihilating or decaying DM, in the form of excess electrons or gamma- and X-ray photons above the astrophysical background. LÄS MER