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2014

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Requirement Eliciting Process: A Method To Analyze Requirements Through Concept Maps, Marie Nilukshi Fonseka Jan 2014

Requirement Eliciting Process: A Method To Analyze Requirements Through Concept Maps, Marie Nilukshi Fonseka

Computer Science

Conceptual modeling involves the understanding and communication between system analysts and end-users. Concept maps (CM) are informal, semantic, node-link conceptual graphs used to represent knowledge in a variety of applications. Concept maps capture knowledge about the concepts and concept relationships in a domain, using a two-dimensional visually-based representation. In this paper we examine hoe concept maps created for student requirements are different from that of a domain expert. This will aid us as analysts, to understand how well we interpret requirements in known and unknown domains using two requirements eliciting methods problem description and use case method. The results show …

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Evaluating The Usefulness Of Requirement Error Taxonomy As A Defect Prevention Technique: An Empirical Investigation, Sana Rehman Jan 2014

Evaluating The Usefulness Of Requirement Error Taxonomy As A Defect Prevention Technique: An Empirical Investigation, Sana Rehman

Computer Science

Defect prevention techniques can be used during the creation of software artifacts to help developers create high-quality artifacts. The Requirement Error Taxonomy developed by Walia et al. [22, 23] helps focus developer’s attention on common errors that can occur during requirements engineering. This paper investigates the usefulness of the Requirement Error Taxonomy as a defect prevention technique. The goal was to determine if making requirements engineers’ familiar with the Requirement Error Taxonomy would reduce the likelihood that they commit errors while developing a requirements document. We conducted an empirical study in which the participants used the Requirement Error Taxonomy during …

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Mining Representative Cohesive Dense Subgraphs, Tyler Brazier Jan 2014

Mining Representative Cohesive Dense Subgraphs, Tyler Brazier

Computer Science

Data mining techniques have an important implication in social and biological network analysis, were we're interested in finding related complexes and communities. A modern paradigm for solving this problem involves finding densely connected interacting members such as bound proteins in a PPI. It's important to also consider the properties of members. In the context of social networks, we might be interested in finding groups of friends of similar age and sharing common interests. This information can lead to better targeting for advertising and suggestions. In this paper, we introduce an algorithm that can be applied to mining entity- relationship networks. …

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Adapting Web Page Tables On Mobile Web Browsers: Results From Two Controlled Empirical Studies, Ramakanth Reddy Annadi Jan 2014

Adapting Web Page Tables On Mobile Web Browsers: Results From Two Controlled Empirical Studies, Ramakanth Reddy Annadi

Computer Science

Displaying web page content in mobile screens is a challenging task and users often face difficulty retrieving the relevant data. It can force them to adopt a time-consuming hunt-and-peck strategy. Application of design principles can improve the view of the webpage data content and reduce the time consumption in viewing it. This is especially true with HTML tabular data content. This thesis discusses the background and applications of the gestalt design principle techniques to HTML tabular data content. An empirical study was performed to investigate the usability of two types of the adaptive styles namely, single and multi-layout. This thesis …

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Measurement Of Non-Technical Skills Of Software Development Teams, Lisa Louise Bender Jan 2014

Measurement Of Non-Technical Skills Of Software Development Teams, Lisa Louise Bender

Computer Science

Software Development managers recognize that project team dynamics is a key component of the success of any project. Managers can have a project with well-defined goals, an adequate schedule, technically skilled people and all the necessary tools, but if the project team members cannot communicate and collaborate effectively with each other and with end users, then project success is at risk. Common problems with non-technical skills include dysfunctional communication, negative attitudes, uncooperativeness, mistrust, avoidance, and ineffective negotiations between team members and users. Such problems must be identified and addressed to improve individual and team performance. There are tools available that …

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A Linguistic Model For Improving Sentiment Analysis Systems, Jared Coleman Hall Jan 2014

A Linguistic Model For Improving Sentiment Analysis Systems, Jared Coleman Hall

Computer Science

The value of automated sentiment analysis systems is increasing with the vast amount of consumer-generated content, allowing researchers to analyze the information readily available on the World Wide Web. Much research has been done in the field of sentiment analysis, which has improved the accuracy of sentiment analysis systems. But sentiment analysis is a challenging problem, and there are many potential areas for improvement. In this thesis, we analyze two linguistic rules, and propose algorithms for these rules to be applied in sentiment analysis systems. The first rule is regarding how a sentiment analysis system can recognize and apply the …

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Does Domain Knowledge Increase Creativity During Requirements Development: An Empirical Investigation, Sonu Sharm Jan 2014

Does Domain Knowledge Increase Creativity During Requirements Development: An Empirical Investigation, Sonu Sharm

Computer Science

To design and build a system/software, we need to understand the business of the organization, so understanding the business is very important for requirement analysis of such system. This requires an effective and efficient use of domain knowledge. In this paper we discuss the results of the empirical study that was carried out to understand the influence of domain knowledge on the creativity during requirement development phase. And then discuss our results, it’s relevance to software organization and some additional findings from the study.

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Applied Nonparametric Statistical Tests To Compare Evolutionary And Swarm Intelligence Approaches, Srinivas Adithya Amanchi Jan 2014

Applied Nonparametric Statistical Tests To Compare Evolutionary And Swarm Intelligence Approaches, Srinivas Adithya Amanchi

Computer Science

Recently, in many experimental studies, the statistical analysis of nonparametric comparisons has grown in the area of computational intelligence. The research refers to application of different techniques that are used to show comparison among the algorithms in an experimental study. Pairwise statistical technique perform individual comparison between two algorithms and multiple statistical technique perform comparison between more than two algorithms. Techniques include the Sign test, Wilcoxon signed ranks test, the multiple sign test, the Friedman test, the Friedman aligned ranks test and the Quade test. In this paper, we used these tests to analyze the results obtained in an experimental …

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Mobile Applications For Viewing Price And Load Of Power Data From New York Independent System Operator, Nimish Gupta Jan 2014

Mobile Applications For Viewing Price And Load Of Power Data From New York Independent System Operator, Nimish Gupta

Computer Science

In New York, the New York Independent System Operator (NYISO) supervises the wholesale electrical market and collects different kinds of data, including price and load data, which are available on the NYISO’s website. These data are not available on mobile and tablet devices, and the NYISO website does not provide the ability to render customized reports which would allow the user to filter and manipulate the data for effective searches, analyses, and visualization. To overcome these problems, a mobile application was developed. This application not only allowed the users to effectively browse through the website’s contents, but also empowered the …

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Smart Task Scheduling For A Truck Company, Pooja Gautam Jan 2014

Smart Task Scheduling For A Truck Company, Pooja Gautam

Computer Science

The truck scheduling system is a web-based application which will facilitate online truck activities. The objective of the application is to provide the truck system with an automated computerized tool, which will be helpful for the associated users to manage their requirements to find the shipper’s best routes and alternative routes from the available carriers. The system will be a highly robust and user-friendly tool that aims to achieve maximum user satisfaction. Text mining has been used to extract the data from email, i.e., an unstructured data source, and to store the data in a structured form, i.e., in RDBMS, …

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A Data Mining Approach To Radiation Hybrid Mapping, Raed Seetan Jan 2014

A Data Mining Approach To Radiation Hybrid Mapping, Raed Seetan

Computer Science

The task of mapping markers from Radiation Hybrid (RH) mapping experiments is typically viewed as equivalent to the traveling-salesman problem, which has combinatorial complexity. As an additional problem, experiments commonly result in some unreliable markers that reduce the overall map quality. Due to the large numbers of markers in current radiation hybrid populations, the use of the data mining techniques becomes increasingly important for reducing both the computational complexity and the impact of noise of the original data. In this dissertation, a clustering-based approach is proposed for addressing both the problem of filtering unreliable markers (framework maps) and the problem …

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Mining Frequent Coherent Patterns From Weighted Graphs, Syed Kutub Uddin Ahmed Jan 2014

Mining Frequent Coherent Patterns From Weighted Graphs, Syed Kutub Uddin Ahmed

Computer Science

Current research on network analysis; such as community detection, pattern mining and many other graph mining application mostly focus on large social or biological networks. Such experiments may find interesting patterns that helps us to understand the unknown relationship within the network. Sometimes the size of the input networks are so big that it needs an efficient algorithm to overcome the time and space complexities. In this paper we modify an existing algorithm that finds the maximal patterns from a set of input networks. Maximal patterns are those patterns that are not part of any frequent patterns. We introduce a …

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Semantic-Based Publish/Subscribe System In Social Network, Farzana Jahan Jan 2014

Semantic-Based Publish/Subscribe System In Social Network, Farzana Jahan

Computer Science

The publish/subscribe model has become a prevalent paradigm for building distributed notification services by decoupling the publishers and the subscribers from each other. The semantics-based publish/subscribe system allows highly expressive descriptions of subscriptions and publications and thus is more appropriate for content dissemination when a finer level of granularity is necessary. In this paper we have designed and implemented a semantic-based publish/subscribe system that can be adapted into social networks where thousands of people can share their common interests through publications and subscriptions. We have described our ontology, defined publishers’ and subscribers’ data semantics or schema, provided a matching algorithm, …

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A Restful Architecture For Multiuser Virtual Environments And Simulations, Matti Kariluoma Jan 2014

A Restful Architecture For Multiuser Virtual Environments And Simulations, Matti Kariluoma

Computer Science

JavaMOO is an architecture for creating multiuser virtual environments using the MUD (Multi-User Dungeon) and MOO (MUD Object Oriented) design patterns (rooms and objects in the rooms, including \exit" objects that lead to other rooms). The MOO design pattern traces it roots back to the rst multiuser virtual environments in the early 1980s. The focus of this thesis is joining the MOO design pattern with a distributed architecture. A distributed architecture is pursued to reduce the per-server computational load, compared to a traditional single-server approach. The e ect of transferring computational load to the client software is also investigated, with …

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Implementation Of A Clonal Selection Algorithm, Srikanth Valluru Jan 2014

Implementation Of A Clonal Selection Algorithm, Srikanth Valluru

Computer Science

Some of the best optimization solutions were inspired by nature. Clonal selection algorithm is a technique that was inspired from genetic behavior of the immune system, and is widely implemented in the scientific and engineering fields. The clonal selection algorithm is a population-based search algorithm describing the immune response to antibodies by generating more cells that identify these antibodies, increasing its affinity when subjected to some internal process. In this paper, we have implemented the artificial immune network using the clonal selection principle within the optimal lab system. The basic working of the algorithm is to consider the individuals of …

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Best Practices Of Erp Implementation, Rahul Puri Jan 2014

Best Practices Of Erp Implementation, Rahul Puri

Computer Science

Today Enterprise Resource Planning (ERP) has become a fundamental necessity for the organization. It serves many functional areas and many industries in an integrated fashion, trying to automate operations from inventory control, supply chain management, sales support, manufacturing production as well as scheduling, financial accounting and cost accounting, customer relationship management and human resources. However, successful implementation and deployment of ERP systems is a challenging task which when not executed successfully will not serve the purpose for which it is being implemented. The objective of the study is to examine and analyze the best practices that have to be adopted …

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An Interactive Visualization System For A Multi-Level View Of Opinion Mining Results, Karan Chitkara Jan 2014

An Interactive Visualization System For A Multi-Level View Of Opinion Mining Results, Karan Chitkara

Computer Science

Products are purchased and sold on a daily basis and people tend to critique on products they purchase. Those who want to buy a product will read reviews on that product given by others before buying; likewise those who have already bought a product will write a review on it. This paper presents a technique for visualizing data that comes from reviews given online for different products. My contribution to this project is to create a tool and process the tagged files generated with the help of machine learning. This project also focuses on the implementation of Semantic matching which …

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Improved Genetic Programming Techniques For Data Classification, Naila Shikri Al-Madi Jan 2014

Improved Genetic Programming Techniques For Data Classification, Naila Shikri Al-Madi

Computer Science

Evolutionary algorithms are one category of optimization techniques that are inspired by processes of biological evolution. Evolutionary computation is applied to many domains and one of the most important is data mining. Data mining is a relatively broad field that deals with the automatic knowledge discovery from databases and it is one of the most developed fields in the area of artificial intelligence. Classification is a data mining method that assigns items in a collection to target classes with the goal to accurately predict the target class for each item in the data. Genetic programming (GP) is one of the …

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Metrics And Tools To Guide Design Of Graphical User Interfaces, Khalid Ali Alemerien Jan 2014

Metrics And Tools To Guide Design Of Graphical User Interfaces, Khalid Ali Alemerien

Computer Science

User interface design metrics assist developers evaluate interface designs in early phase before delivering the software to end users. This dissertation presents a metric-based tool called GUIEvaluator for evaluating the complexity of the user interface based on its structure. The metrics-model consists of five modified structural measures of interface complexity: Alignment, grouping, size, density, and balance. The results of GUIEvaluator are discussed in comparison with the subjective evaluations of interface layouts and the existing complexity metrics-models. To extend this metrics-model, the Screen-Layout Cohesion (SLC) metric has been proposed. This metric is used to evaluate the usability of user interfaces. The …

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A New Coupling Metric: Combining Structural And Semantic Relationships, Mamdouh Khalaf Alenezi Jan 2014

A New Coupling Metric: Combining Structural And Semantic Relationships, Mamdouh Khalaf Alenezi

Computer Science

Maintaining object-oriented software is problematic and expensive. Earlier research has revealed that complex relationships among object-oriented software entities are key reasons that make maintenance costly. Therefore, measuring the strength of these relationships has become a requirement to develop proficient techniques for software maintenance. Coupling, a measure of the interdependence among software entities, is an important property for which many software metrics have been defined. It is widely agreed that the level of coupling in a software product has consequences for its maintenance. In order to understand which aspects of coupling affect quality or other external attributes of software, this dissertation …

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Simple Identity Manager, Sunil Kolluru Jan 2014

Simple Identity Manager, Sunil Kolluru

Computer Science

Identity management is a key area for any enterprise. Maintaining user profiles, including e-mail, passwords, and other personal information, and providing a way to manage them is ubiquitous for any company. Specifically, one could not rule out the necessity of basic operations, such as creating a user profile, modifying it, changing the password, finding/resetting a forgotten password, finding a forgotten userID, and enabling/disabling a user account. Identity management is observed on any website that needs credentials to login. Companies are investing millions of dollars in identity management products because, the corporations are aware that it is inevitable. This paper presents …

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Petri Net Model For Smart Grid System, Anand Swaroop Pandey Jan 2014

Petri Net Model For Smart Grid System, Anand Swaroop Pandey

Computer Science

The concept of a smart grid is to provide self-healing, reliable, economic, and environment friendly energy-saving, sustainable electricity services to the users including the freedom to choose and set priorities according to the requirement and budget. This paper proposes a Petri Net model which can be used for such smart-grid systems. It provides the concept of an alternate power supply in the situation of a blackout due to any possible reasons, maintaining the reliability and healing nature of the smart grid. The model is developed with the help of the Renew 2.4 tool. Java functions are used to control the …

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Project Quality Tool: A Tool For Project Success, Pallavi Srichinta Jan 2014

Project Quality Tool: A Tool For Project Success, Pallavi Srichinta

Computer Science

This paper proposes a solution to the current changing requirements communication problem in an offshore on-site software development model. The proposed model is a web-based tool where the user in a project team can enter the new Requirements, map them to Design, create Test Cases from design, Execute them, and track failed ones by creating Defects. When the requirements change the existing tools available in the market, the changes are not communicated to the entire project team; leaving the Quality Assurance team verifying old (incomplete) requirements which ultimately costs more time, money and delays the project delivery. In this paper, …

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Implementation Of A Medical Decision Making Tool, Sudheer Gadiparthi Jan 2014

Implementation Of A Medical Decision Making Tool, Sudheer Gadiparthi

Computer Science

Nowadays timely medical assistance is necessary for physicians/medical practitioners for decision making. Sometimes it is necessary for physicians to make decisions to diagnose the disease of a patient promptly. ‘Implementation of a Medical Decision Making Tool’, is a software tool was developed by implementing and incorporating efficient data mining techniques. In this project, with the help of WEKA software, which is a collection of classification algorithms for data analysis and feature selection, the decision making tool was implemented for the data preprocessing and classification on collected data sets of patients. Dataset for three kinds of diseases, heart disease, dermatology, and …

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Investigating The Defect Patterns During The Software Development Projects, Abhaya Poudyal Jan 2014

Investigating The Defect Patterns During The Software Development Projects, Abhaya Poudyal

Computer Science

With the growing software industry and our dependency on complex software applications, it is vital that the software is free of faults. The objective of my study is to, identify and classify the most common type of defects that are committed during the course of a software development project in a real industrial setting. The defects data are collected from two live projects and are categorized into 4 different categories as per the nature of the faults. The data has then been analyzed to see which defect categories are committed most during the software development life cycle. The result from …

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Towards Improving P300-Based Brain-Computer Interfaces: From Desktop To Mobile, Qasem Turki Obeidat Jan 2014

Towards Improving P300-Based Brain-Computer Interfaces: From Desktop To Mobile, Qasem Turki Obeidat

Computer Science

A brain-computer interface (BCI) enables a paralyzed user to interact with an external device through brain signals. A BCI measures identi es patterns within these measured signals, translating such patterns into commands. The P300 is a pattern of a scalp potentials elicited by a luminance increment of an attended target rather than a non-target character of an alphanumeric matrix. The Row-Column Paradigm (RCP) can utilize responses to series of illuminations of matrix target and non-target characters to spell out alphanumeric strings of P300-eliciting target characters, yet this popular RCP speller faces three challenges. The adjacent problem concerns the proximity of …

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Historical Analysis And Estimation Tool For Energy Trading, Sharath Chandra Sambaraju Jan 2014

Historical Analysis And Estimation Tool For Energy Trading, Sharath Chandra Sambaraju

Computer Science

Many forms of commodities are traded in today’s financial world, the most commonly used commodity, ‘Electricity’, is no exception. Electricity is mostly traded on a day to day basis, where the buyers and suppliers agree on a fixed price for electricity to be generated and dispatched. These allow the markets to adjust themselves to efficient pricing based on the simple supply and demand principle. The objective of this paper is to understand the day ahead market data and collecting historical market data and storing in to a RDBMS database, and design and program a windows-based application using C# programming language, …

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Power Consumption For Ios, Yannick Mingashanga Kwete Jan 2014

Power Consumption For Ios, Yannick Mingashanga Kwete

Computer Science

The shift from traditional software development for personal computers to mobile applications on iOS comes with new challenges and considerations. Software development teams similar to my work group built expertise in delivering quality products for the Mac OS platform. Although the core development and testing processes largely remain the same on iOS devices (iPhones and iPads), a major concern is around an application’s power consumption. The engineering challenge is to build innovative applications that do not drain the battery too quickly. Power consumption testing on iOS is an important area to validate and optimize to deliver quality applications to mobile …

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Naïve Bayes Classifier: A Mapreduce Approach, Songtao Zheng Jan 2014

Naïve Bayes Classifier: A Mapreduce Approach, Songtao Zheng

Computer Science

Machine learning algorithms have the advantage of making use of the powerful Hadoop distributed computing platform and the MapReduce programming model to process data in parallel. Many machine learning algorithms have been investigated to be transformed to the MapReduce paradigm in order to make use of the Hadoop Distributed File System (HDFS). Naïve Bayes classifier is one of the supervised learning classification algorithm that can be programmed in form of MapReduce. In our study, we build a Naïve Bayes MapReduce model and evaluate the classifier on five datasets based on the prediction accuracy. Also, a scalability analysis is conducted to …

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Critical Information Retrieval From Emails, Souvik Sen Jan 2014

Critical Information Retrieval From Emails, Souvik Sen

Computer Science

With efficiency being a driving force in today’s ecommerce, emails have become a major form of communication. However, deciphering information from these emails has been a be-labored task. With every email containing proprietary information, handling this information has become an arduous task that requires money, time and effort. To tackle this ecommerce problem, a computerized solution is important to expedite the extraction of information. In this paper, we have applied Named Entity Recognition, different rules and algorithms to extract important information from emails. The proposed solution tackles challenges revolving around tabular and natural language formats, which are the largest formats …

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