Software Source Code : Statistical Modeling / Siddhartha Bhattacharyya, Raghavendra Rao Althar, Debabrata Samanta, Debanjan Konar.
By: Rao Althar, Raghavendra [author.].
Contributor(s): Bhattacharyya, Siddhartha [author.] | Konar, Debanjan [author.] | Samanta, Debabrata [author.].
Material type: BookSeries: De Gruyter STEM.Publisher: Berlin ; Boston : De Gruyter, [2021]Copyright date: 2021Description: 1 online resource (XVI, 342 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110703399.Subject(s): Data Mining | Softwareentwicklung | Statistik | COMPUTERS / Software Development & Engineering / GeneralAdditional physical formats: No title; No titleOnline resources: Click here to access online | Click here to access online | Cover Issued also in print.Summary: This book will focus on utilizing statistical modelling of the software source code, in order to resolve issues associated with the software development processes. Writing and maintaining software source code is a costly business; software developers need to constantly rely on large existing code bases. Statistical modelling identifies the patterns in software artifacts and utilize them for predicting the possible issues.restricted access online access with authorization star
http://purl.org/coar/access_right/c_16ec
This book will focus on utilizing statistical modelling of the software source code, in order to resolve issues associated with the software development processes. Writing and maintaining software source code is a costly business; software developers need to constantly rely on large existing code bases. Statistical modelling identifies the patterns in software artifacts and utilize them for predicting the possible issues.
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 30. Jan 2024)
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