Information Needs for Software Development Analytics.

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Bibliographic Details
Title: Information Needs for Software Development Analytics.
Authors: Buse, Raymond P. L.1 buse@cs.virginia.edu, Zimmermann, Thomas tzimmer@microsoft.com
Source: ICSE: International Conference on Software Engineering. Feb2012, p987-996. 10p.
Subjects: Computer software development, Computer programming management, Software engineering, Computer software, Data security, Database security, Computer security
Abstract: Software development is a data rich activity with many sophisticated metrics. Yet engineers often lack the tools and techniques necessary to leverage these potentially powerful information resources toward decision making. In this paper, we present the data and analysis needs of professional software engineers, which we identified among 110 developers and managers in a survey. We asked about their decision making process, their needs for artifacts and indicators, and scenarios in which they would use analytics. The survey responses lead us to propose several guidelines for analytics tools in software development including: Engineers do not necessarily have much expertise in data analysis; thus tools should be easy to use, fast, and produce concise output. Engineers have diverse analysis needs and consider most indicators to be important; thus tools should at the same time support many different types of artifacts and many indicators. In addition, engineers want to drill down into data based on time, organizational structure, and system architecture. [ABSTRACT FROM AUTHOR]
Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Information Needs for Software Development Analytics.
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  Data: <searchLink fieldCode="AR" term="%22Buse%2C+Raymond+P%2E+L%2E%22">Buse, Raymond P. L.</searchLink><relatesTo>1</relatesTo><i> buse@cs.virginia.edu</i><br /><searchLink fieldCode="AR" term="%22Zimmermann%2C+Thomas%22">Zimmermann, Thomas</searchLink><i> tzimmer@microsoft.com</i>
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  Data: <searchLink fieldCode="DE" term="%22Computer+software+development%22">Computer software development</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+programming+management%22">Computer programming management</searchLink><br /><searchLink fieldCode="DE" term="%22Software+engineering%22">Software engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Data+security%22">Data security</searchLink><br /><searchLink fieldCode="DE" term="%22Database+security%22">Database security</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+security%22">Computer security</searchLink>
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  Data: Software development is a data rich activity with many sophisticated metrics. Yet engineers often lack the tools and techniques necessary to leverage these potentially powerful information resources toward decision making. In this paper, we present the data and analysis needs of professional software engineers, which we identified among 110 developers and managers in a survey. We asked about their decision making process, their needs for artifacts and indicators, and scenarios in which they would use analytics. The survey responses lead us to propose several guidelines for analytics tools in software development including: Engineers do not necessarily have much expertise in data analysis; thus tools should be easy to use, fast, and produce concise output. Engineers have diverse analysis needs and consider most indicators to be important; thus tools should at the same time support many different types of artifacts and many indicators. In addition, engineers want to drill down into data based on time, organizational structure, and system architecture. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of ICSE: International Conference on Software Engineering is the property of Association for Computing Machinery and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Code: eng
        Text: English
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        PageCount: 10
        StartPage: 987
    Subjects:
      – SubjectFull: Computer software development
        Type: general
      – SubjectFull: Computer programming management
        Type: general
      – SubjectFull: Software engineering
        Type: general
      – SubjectFull: Computer software
        Type: general
      – SubjectFull: Data security
        Type: general
      – SubjectFull: Database security
        Type: general
      – SubjectFull: Computer security
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      – TitleFull: Information Needs for Software Development Analytics.
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            NameFull: Buse, Raymond P. L.
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            NameFull: Zimmermann, Thomas
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              Text: Feb2012
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              Y: 2012
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            – TitleFull: ICSE: International Conference on Software Engineering
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