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Project Zone > Software > Software Engneering

INSPIRE: A Framework for Incremental Spatial Prefix Query Relaxation

Category : Software Engneering


Sub Category : JAVA


Project Code : ITJSW01


Project Desc : Geo-textual data are generated in abundance. Recent studies focused on the processing of spatial keyword queries which retrieve objects that match certain keywords within a spatial region.

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Discovery of Ranking Fraud for Mobile Apps

Category : Software Engneering


Sub Category : JAVA


Project Code : ITJSW02


Project Desc : In this paper, we provide a holistic view of ranking fraud and propose a ranking fraud detection system for mobile Apps. Specifically, we first propose to accurately locate the ranking fraud by mining the active periods, namely leading sessions, of mobile Apps.

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EXTRACTING DEVELOPMENT TASKS TO NAVIGATE SOFTWARE DOCUMENTATION

Category : Software Engneering


Sub Category : JAVA


Project Code : ITJSW03


Project Desc : To help developers navigate documentation, we developed a technique for automatically extracting tasks from software documentation by conceptualizing tasks as specific programming actions that have been described in the documentation.

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Online Feature Selection an d Its Applications

Category : Software Engneering


Sub Category : JAVA


Project Code : ITJSW04


Project Desc : Online feature selection is very important in any web application and its tasks are called ofs. This paper work is closely related to the studies of online learning and feature selection in detail.

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Continuous and Transparent User Identity Verification for Secure Internet Services

Category : Software Engneering


Sub Category : JAVA


Project Code : ITJSW05


Project Desc : Session management in distributed Internet services is traditionally based on username and password, explicit logouts and mechanisms of user session expiration using classic timeouts.

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Instance Generator and Problem Representation to Improve Object Oriented Code Coverage

Category : Software Engneering


Sub Category : DOTNET


Project Code : ITDSW01


Project Desc : This paper based on Search-based approaches has been extensively applied to solve the problem of software test-data generation. Yet, test-data generation for object-oriented programming (OOP) is challenging due to the features of OOP, e.g., abstraction, encapsulation, and visibility that prevent direct access to some parts of the source code.

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Investigating Country Differences in Mobile App User Behavior and Challenges for Software Engineering

Category : Software Engneering


Sub Category : DOTNET


Project Code : ITDSW02


Project Desc : In this paper we study about Mobile applications are software developed for use on mobile devices and made available through app stores. App stores are highly aggressive markets where developers need to cater to a large number of users straddling multiple countries.

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Program Characterization Using Runtime Values and Its Application to Software Plagiarism Detection.

Category : Software Engneering


Sub Category : DOTNET


Project Code : ITDSW03


Project Desc : Identifying similar or identical code fragments becomes much more challenging in code theft cases where plagiarizers can use various automated code transformation or obfuscation techniques to hide stolen code from being detected.

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COVERAGE-BASED TESTING FOR SERVICE LEVEL AGREEMENTS

Category : Software Engneering


Sub Category : DOTNET


Project Code : ITDSW04


Project Desc : A service-level agreement (SLA) is simply a document describing the level of service expected by a customer from a supplier, laying out the metrics by which that service is measured, and the remedies or penalties, if any, should the agreed-upon levels not be achieved. Usually, SLAs are between companies and external suppliers, but they may also be between two departments within a company.

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IMPROVED EVOLUTIONARY ALGORITHM DESIGN FOR THE PROJECT SCHEDULING PROBLEM BASED ON RUNTIME ANALYSIS

Category : Software Engneering


Sub Category : DOTNET


Project Code : ITDSW05


Project Desc : Several variants of evolutionary algorithms (EAs) have been applied to solve the project scheduling problem (PSP), yet their performance highly depends on design choices for the EA. It is still unclear how and why different EAs perform differently. We present the first runtime analysis for the PSP, gaining insights into the performance of EAs on the PSP in general, and on specific instance classes that are easy or hard.

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