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<link rel="Stylesheet" href="/infosci/styles.css" type="text/css"> <h2>Information Science Discussion Papers Series: 2005 Abstracts</h2> <hr> <h3><a name="dp2005-01">2005/01: A rule language for modelling and monitoring social expectations in multi-agent systems</a></h3> <h4>S. Cranefield</h4> <p>This paper proposes a rule language for defining social expectations based on a metric interval temporal logic with past and future modalities and a current time binding operator. An algorithm for run-time monitoring compliance of rules in this language based on formula progression is also presented.</p> <p><a href="http://www.business.otago.ac.nz/infosci/pubs/papers/papers/dp2005-01.pdf">Download</a> (PDF, 192KB)</p> <hr> <h3><a name="dp2005-02">2005/02: An application of Bayesian network for predicting object-oriented software maintainability</a></h3> <h4>C. van Koten and A. Gray</h4> <p>As the number of object-oriented software systems increases, it becomes more important for organizations to maintain those systems effectively. However, currently only a small number of maintainability prediction models are available for objectoriented systems. This paper presents a Bayesian network maintainability prediction model for an object-oriented software system. The model is constructed using object-oriented metric data in Li and Henry’s datasets, which were collected from two different object-oriented systems. Prediction accuracy of the model is evaluated and compared with commonly used regression-based models. The results suggest that the Bayesian network model can predict maintainability more accurately than the regression-based models for one system, and almost as accurately as the best regression-based model for the other system.</p> <p><a href="http://www.business.otago.ac.nz/infosci/pubs/papers/papers/dp2005-02.pdf">Download</a> (PDF, 289KB)</p> <link rel="Stylesheet" href="/infosci/styles.css" type="text/css"> <h2>Information Science Discussion Papers Series: 2005 Abstracts</h2> <hr> <h3><a name="dp2005-01">2005/01: A rule language for modelling and monitoring social expectations in multi-agent systems</a></h3> <h4>S. Cranefield</h4> <p>This paper proposes a rule language for defining social expectations based on a metric interval temporal logic with past and future modalities and a current time binding operator. An algorithm for run-time monitoring compliance of rules in this language based on formula progression is also presented.</p> <p><a href="http://www.business.otago.ac.nz/infosci/pubs/papers/papers/dp2005-01.pdf">Download</a> (PDF, 192KB)</p>

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<h3><a name="dp2005-01">2005/01: A rule language for modelling and monitoring social expectations in multi-agent systems</a></h3>
<h4>S. Cranefield</h4>

<p>This paper proposes a rule language for defining social expectations based on a metric interval temporal logic with past and future modalities and a current time binding operator. An algorithm for run-time monitoring compliance of rules in this language based on formula progression is also presented.</p>

<p><a href="http://www.business.otago.ac.nz/infosci/pubs/papers/papers/dp2005-01.pdf">Download</a> (PDF, 192KB)</p>

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<h3><a name="dp2005-02">2005/02: An application of Bayesian network for predicting object-oriented software maintainability</a></h3>
<h4>C. van Koten and A. Gray</h4>

<p>As the number of object-oriented software systems increases, it becomes more important for organizations to maintain those systems effectively. However, currently only a small number of maintainability prediction models are available for objectoriented systems. This paper presents a Bayesian network maintainability prediction model for an object-oriented software system. The model is constructed using object-oriented metric data in Li and Henry&#8217;s datasets, which were collected from two different object-oriented systems. Prediction accuracy of the model is evaluated and compared with commonly used regression-based models. The results suggest that the Bayesian network model can predict maintainability more accurately than the regression-based models for one system, and almost as accurately as the best regression-based model for the other system.</p>

<p><a href="http://www.business.otago.ac.nz/infosci/pubs/papers/papers/dp2005-02.pdf">Download</a> (PDF, 289KB)</p>

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<link rel="Stylesheet" href="DPSstyles.css" type="text/css"> <h2>Information Science Discussion Papers Series: 2005</h2> <?php include("post2000blurb.htm");?> <?php include("menu.htm");?> <h3><a name="2005">2005</a></h3> <p><strong>2005/01:</strong> S. Cranefield. <em>A rule language for modelling and monitoring social expectations in multi-agent systems.</em> <a href="dp2005-abstracts.htm#dp2005-01">Abstract</a> \| <a href="http://www.business.otago.ac.nz/infosci/pubs/papers/papers/dp2005-01.pdf">Download</a> (192KB)</p> <p><strong>2005/02:</strong> C. van Koten and A. Gray. <em>An application of Bayesian network for predicting object-oriented software maintainability.</em> <a href="dp2005-abstracts.htm#dp2005-02">Abstract</a> \| <a href="http://www.business.otago.ac.nz/infosci/pubs/papers/papers/dp2005-02.pdf">Download</a> (289KB)</p> <?php include("menu.htm");?> <link rel="Stylesheet" href="DPSstyles.css" type="text/css"> <h2>Information Science Discussion Papers Series: 2005</h2> <?php include("post2000blurb.htm");?> <?php include("menu.htm");?> <h3><a name="2005">2005</a></h3> <p><strong>2005/01:</strong> S. Cranefield. <em>A rule language for modelling and monitoring social expectations in multi-agent systems.</em> <a href="dp2005-abstracts.htm#dp2005-01">Abstract</a> \| <a href="http://www.business.otago.ac.nz/infosci/pubs/papers/papers/dp2005-01.pdf">Download</a> (192KB)</p> <?php include("menu.htm");?>

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