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This paper demonstrates the use of Data Mining (DM) techniques in exploratory research. A robust model for identifying the factors that explain the success of Open Source Software (OSS) projects is created, validated and tested. The... more
This paper demonstrates the use of Data Mining (DM) techniques in exploratory research. A robust model for identifying the factors that explain the success of Open Source Software (OSS) projects is created, validated and tested. The predictive modeling techniques of Logistic Regression (LR), Decision Trees (DT) and Neural Networks (NN) are used together in this analysis. Using Text Mining results in the predictive modeling process strengthens the model. SAS ® Enterprise Miner and SAS ® Text Miner are used in this research.
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In this paper, we define and validate a new multidimensional measure of Open Source Software (OSS) project survivability, called Project Viability. Project viability has three dimensions: vigor, resilience, and organization. We define... more
In this paper, we define and validate a new multidimensional measure of Open Source Software (OSS) project survivability, called Project Viability. Project viability has three dimensions: vigor, resilience, and organization. We define each of these dimensions and formulate an index called the Viability Index (VI) to combine all three dimensions. Archival data of projects hosted at SourceForge.net are used for
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ABSTRACT This paper presents results in multivariate distribution theory related directly to the work of Wilks and his integral equations. It also surveys related results and extensions to Wilks’ integral equations provided by G and... more
ABSTRACT This paper presents results in multivariate distribution theory related directly to the work of Wilks and his integral equations. It also surveys related results and extensions to Wilks’ integral equations provided by G and H-functions. Some future research directions are indicated.
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Organizations spend a major portion of their Information Technology budget on software maintenance. In this paper, we present a predictive model for the maintenance outcomes of the software projects. We also identify the factors that... more
Organizations spend a major portion of their Information Technology budget on software maintenance. In this paper, we present a predictive model for the maintenance outcomes of the software projects. We also identify the factors that affect software maintenance outcomes. We build our model using Data Mining (DM) techniques on Open Source Software (OSS) project data. We use the public access
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Open Source Software (OSS) has reached new levels of sophistication and acceptance by users and commercial software vendors. This research creates tests and validates a model for predicting successful development of OSS projects. Widely... more
Open Source Software (OSS) has reached new levels of sophistication and acceptance by users and commercial software vendors. This research creates tests and validates a model for predicting successful development of OSS projects. Widely available archival data was used for OSS projects from Sourceforge.net. The data is analyzed with multiple Data Mining techniques. Initially three competing models are created using Logistic Regression, Decision Trees and Neural Networks. These models are compared for precision and are refined in several phases. Text Mining is used to create new variables that improve the predictive power of the models. The final model is chosen based on best fit to separate training and validation data sets and the ability to explain the relationship among variables. Model robustness is determined by testing it on a new dataset extracted from the SF repository. The results indicate that end-user involvement, project age, functionality, usage, project management tech...
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Estimating the customer demand for electricity plays a crucial role in the equitable determination of customer electric utility rates. To estimate the customer demand accurately, it is necessary to determine the appropriate sample size.... more
Estimating the customer demand for electricity plays a crucial role in the equitable determination of customer electric utility rates. To estimate the customer demand accurately, it is necessary to determine the appropriate sample size. Due to the unique requirements imposed by the Public Utilities Regulatory Policies Act of 1978, existing procedures to determine sample size fail to provide the optimal
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ABSTRACT Geometric programming has been an important optimization approach in several engineering design areas. We present an approach to sensitivity analysis in geometric programming using interval arithmetic. The study of the effect of... more
ABSTRACT Geometric programming has been an important optimization approach in several engineering design areas. We present an approach to sensitivity analysis in geometric programming using interval arithmetic. The study of the effect of changes in the problem parameters is important for theoretical as well as for practical reasons. To date, most of the numerical approaches to sensitivity analysis have characterized the solution in terms of differential changes in the parameters. We use interval arithmetic to generate of solution values associated with an interval of parameter values. These results indicate a new approach to characterizing solutions to geometric programs in terms of changes in the problem parameters.
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Several authors have used interval arithmetic to deal with parametric or sensitivity analysis in mathematical programming problems. Several reported computational experiments have shown how interval arithmetic can provide such results.... more
Several authors have used interval arithmetic to deal with parametric or sensitivity analysis in mathematical programming problems. Several reported computational experiments have shown how interval arithmetic can provide such results. However, there has not been a characterization of the resulting solution interval in terms of the usual sensitivity analysis results. This paper presents a characterization of perturbed convex programs and
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Estimating electrical demand in 15---30-minute intervals plays a crucial role in the determination of electric utility rates and the planning functions of utility companies. In order to achieve accurate estimation results, the Public... more
Estimating electrical demand in 15---30-minute intervals plays a crucial role in the determination of electric utility rates and the planning functions of utility companies. In order to achieve accurate estimation results, the Public Utilities Regulatory Policies Act of 1978 specifies requirements that are unique to this estimation problem. This study investigates the impact of these requirements on estimation effectiveness. The
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Large numbers of incident related databases have been established in the last three decades. The majority of attempts to explore these data marts were trials to identify patterns via first glance into the datasets. This study investigated... more
Large numbers of incident related databases have been established in the last three decades. The majority of attempts to explore these data marts were trials to identify patterns via first glance into the datasets. This study investigated a subset of incidents from fixed facilities in Harris County, TX, extracted from the National Response Center database. By classifying the information into groups and using data mining techniques, interesting patterns of incidents according to characteristics such as type of equipment involved, type of chemical released and causes involved were revealed and further these were used to modify the annual failure probabilities of equipments.
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... John J. Dinkel Associate Provost for Computing and Information Systems 119 Teague Building Texas A&M University College Station, TX 77843 Danny Wong Professor Faulty of Business Administration The Chinese University of Hong... more
... John J. Dinkel Associate Provost for Computing and Information Systems 119 Teague Building Texas A&M University College Station, TX 77843 Danny Wong Professor Faulty of Business Administration The Chinese University of Hong Kong Shatin NT, Hong Kong ...
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Page 1. ?A cademy of Management Journal 1984, Vol. 27, No. 2, 292-307. Strategy and Structure of US Multinationals: An Exploratory Study JOHN D. DANIELS ROBERT A. PITTS Pennsylvania State University MARIETTA J. TRETTER Texas A&M... more
Page 1. ?A cademy of Management Journal 1984, Vol. 27, No. 2, 292-307. Strategy and Structure of US Multinationals: An Exploratory Study JOHN D. DANIELS ROBERT A. PITTS Pennsylvania State University MARIETTA J. TRETTER Texas A&M University ...
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... Research Article. Classification of software patches: a text mining approach. Uzma Raja 1,* ,;Marietta J. Tretter 2. Article first published online: 20 JUL 2010. ... Mockus and Votta 15 categorized maintenance requests according to... more
... Research Article. Classification of software patches: a text mining approach. Uzma Raja 1,* ,;Marietta J. Tretter 2. Article first published online: 20 JUL 2010. ... Mockus and Votta 15 categorized maintenance requests according to IEEE-STD-1212 16, using historical data. ...
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... Research Article. Classification of software patches: a text mining approach. Uzma Raja 1,* ,;Marietta J. Tretter 2. Article first published online: 20 JUL 2010. ... Mockus and Votta 15 categorized maintenance requests according to... more
... Research Article. Classification of software patches: a text mining approach. Uzma Raja 1,* ,;Marietta J. Tretter 2. Article first published online: 20 JUL 2010. ... Mockus and Votta 15 categorized maintenance requests according to IEEE-STD-1212 16, using historical data. ...
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... Andysss College of Business Administration Texas A dT M University College Station, Texas .77843 and Danny Wong Department of ... This implementation addresses the issues described by Hansen and Greenberg for analyzing problems with... more
... Andysss College of Business Administration Texas A dT M University College Station, Texas .77843 and Danny Wong Department of ... This implementation addresses the issues described by Hansen and Greenberg for analyzing problems with data perturbations using interval ...