A method and system for indexing, searching, and retrieving information from timed media files based upon relevance intervals. The method and system for indexing, searching, and retrieving this information is based upon relevance intervals so that a portion of a timed media file is returned, which is selected specifically to be relevant to the given information representations, thereby eliminating the need for a manual determination of the relevance and avoiding missing relevant portions. The timed media includes streaming audio, streaming video, timed HTML, animations such as vector-based graphics, slide shows, other timed media, and combinations thereof.

Method and system for indexing and searching timed media information based upon relevance intervals

Distributed Software Development (DSD) has recently evolved, resulting in an increase in the available literature. Organizations now have a tendency to make greater development efforts in more attractive zones. The main advantage of this lies in a greater availability of human resources in decentralized zones at less cost. There are, however, some disadvantages which are caused by the distance that separates the development teams. Coordination and communication become more difficult as the software components are sourced from different places, thus affecting project organization, project control, and product quality. New processes and tools are consequently necessary. This work presents the findings of a systematic review of the literature related to the challenges concerning Distributed Software Development, whose purpose is to identify the solutions and improvements proposed up to the present day.

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Challenges and improvements in distributed software development: a systematic review

A modeling system enriched with information from a single source (or multiple sources) that allows for the intelligent extension, formulation or reformulation of a request into various processes including but not limited to transmission, discovery, notification, searching, filtering and storing processes is provided. The innovation builds a network of connected information in a specific domain (or group of domains). Additionally, the system enhances the quality and specificity of the results for queries made in various systems including, but not limited to, search engines.

Domain knowledge-assisted information processing

Exemplary embodiments employ a mapping among entities that are related to each other. The entities may include a graphical model, generated code, a generated report, a requirements document and/or an intermediate representation. The mapping may facilitate graphical identifications between parts of one entity that maps to part of another entity. The graphical identification may occur based on a selection of a part in one of the entities.

Traceability in a modeling environment

A solution for centrally managing and federating outage specific information and for rapidly providing controlled access to this information in a role tailored fashion. The information can be gathered and provided in real-time along with programmatically determined proposed actions. An information recipient can configure and dynamically change the manner in which the information is presented, so that relevant information for that recipient can be rapidly digested. For example, a manager with a moderate level of technical knowledge may want information to be presented pictorially and in summary fashion, while a highly technical troubleshooter may want to configure information presentation to show key network statistics and values. In one embodiment, outage information can be presented in a Web portal having multiple discrete and customizable portlets, which include a geography portlet and a system portlet.

Outage management portal leveraging back-end resources to create a role and user tailored front-end interface for coordinating outage responses

Tools and methods are described herein that allows for measuring and using the relationship between artifacts of a software design, such as requirements, test plans, and so on. The relationship can be quantified by determining a relationship quotient for quantifying a similarity between components of software design artifacts and presenting the quantified relationships to a user, such as a software designer, so that he or she can account for the relationship between such components during design changes and so on. The relationship quotient is made more representative of substantive similarity by selecting the key terms that are to be submitted to a similarity analysis such that words that are too common in the English language, such as conjunctions, articles, etc., are not used. Ubiquity of certain key terms in an enterprise is accounted for by adding a term significance weight to the similarity analysis. The similarity analysis is made contextual, for instance, by the use of inputs from domain ontology including Entity Descriptions, and Entity Relationships.

Automated relationship traceability between software design artifacts

A powerful set of features can assist software developers in searching source code. Source code can be queried to find occurrences of source code elements mapped to domain concepts appearing in an ontology. Queries can specify a search for occurrences of particular operations performed on domain concepts within the source code. Query expansion can be used to locate related domain concepts as indicated in the ontology. Query keyword weighting can be used to emphasize one domain concept over another. Tools can be provided to create the ontology and associate the ontology with the elements appearing in the source code. Results can include user interface features assisting in navigation to a location within the source code associated with the query results.

Semantic-based query techniques for source code

In the era of global outsourcing, maintenance and enhancement activities are performed in distributed locations. In most cases, the domain expertise is not available which increases the complexity to manifold. A critical success factor in such a scenario is to have a collaborative platform for managing and sharing the domain specific knowledge across distributed locations. In our ongoing research we have developed a human assisted collaborative knowledge sharing tool called CollabDev. The aim of this tool is to analyze applications in multiple languages and render various structural, architectural, and functional insights to the people involved in maintenance. The novelty of this platform lies in integrating different elements of application knowledge by linking them to source code and allowing multiple developers to collaborate on-line by using annotations for the knowledge elements. The platform also provides diagnostic information on architecture of source code.

A collaborative platform for application knowledge management in software maintenance projects

The present invention describes a method and a computer program product for finding an impact of a change on a computer generated code. The method includes the generation of a dependency graph for the computer generated code. The dependency graph includes a plurality of nodes that are connected logically by one or more edges. The method enables an expert to assign nodal weights to the nodes, based on their importance. The method also enables the expert to assign edge weights and distribution ratios, based on the criticality of the relationship between the nodes and their distance from the root node. Thereafter, the impact of the change is found by implementing a spreading activation technique on the dependency graph. The output gathered after the activation represents the impact of the change on the computer generated code.

Method for finding an impact on a computer generated code

Majority of the software clustering algorithms use structural dependencies to decompose large software systems. While these techniques have merit, they do not always match the decompositions generated by experts who often group software entities based on their purpose. This paper presents an approach to identifying decompositions of a software system, based on the joint participation of software entities in realizing the functionality of the system. Software transactions representing units of functionality are extracted from the source code. Transactions are clustered based on the commonality of software entities used in the transactions. Our approach also assesses the use of check-in data from configuration management system for software clustering where software entities that are modified or updated together form a software transaction. We introduce CoST, a clustering tool that uses Transaction Clustering to identify software decompositions. We apply CoST to three large software systems. The results indicate that this approach produces groupings that come close to decompositions prepared by experts.

Identifying Software Decompositions by Applying Transaction Clustering on Source Code

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