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Searching for software reliability with text miningPodgorelec, Vili, 1972- ; Kokol, Peter, 1957- ; Rozman, Ivan, 1953-In the paper we present the combination of data mining techniques, classifyingand complexity analysis in the software reliability research. We show that a new text complexity metrics, called ... ▫$\alpha$▫ metric as an attribute together with other softwarecomplexity measures can be succesfully used to induce decision trees for predicting dangerous modules (modules having a lot of undetected faults). Redesigning such modules or devoting more testing or maintenance effort to them can largely enhance the reliability, making the software much more safe to use. In addition our research shows that text mining can be a very useful technique not only for improving software quality and reliability but also a useful paradigm for searching for fundamental software development laws.Vir: Knowledge-based software engineering : proceedings of the fifth joint conference on knowledge-based software engineering, Maribor, Slovenia, 11-13 September 2002 (Str. 205-214)Vrsta gradiva - prispevek na konferenciLeto - 2002Jezik - angleškiCOBISS.SI-ID - 7548694
Avtor
Podgorelec, Vili, 1972- |
Kokol, Peter, 1957- |
Rozman, Ivan, 1953-
Teme
podatkovno rudarjenje |
tekstovno rudarjenje |
klasificiranje podatkov |
analiza kompleksnosti |
kompleksne metrike |
odločitvena drevesa |
programska zanesljivost |
data mining |
text mining |
data classification |
complexity analysis |
decision trees |
complexity metrics |
software reliability
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Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
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Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
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Podgorelec, Vili, 1972- | 16304 |
Kokol, Peter, 1957- | 03782 |
Rozman, Ivan, 1953- | 08067 |
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