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Shepperd et al., 2014 - Google Patents

Researcher bias: The use of machine learning in software defect prediction

Shepperd et al., 2014

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Document ID
11451966056949559756
Author
Shepperd M
Bowes D
Hall T
Publication year
Publication venue
IEEE Transactions on Software Engineering

External Links

Snippet

Background. The ability to predict defect-prone software components would be valuable. Consequently, there have been many empirical studies to evaluate the performance of different techniques endeavouring to accomplish this effectively. However no one technique …
Continue reading at bura.brunel.ac.uk (PDF) (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F11/3668—Software testing
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    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • G—PHYSICS
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    • G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism

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