We propose Candoia, a novel platform and ecosystem for building and sharing Mining Software Repositories (MSR) tools. Using Candoia, MSR tools are built as apps and Candoia ecosystem, acting as an appstore, allows effective sharing. Candoia platform provides, data extraction tools for curating custom datasets for user projects, and data abstractions for enabling uniform access to MSR artifacts from disparate sources, which makes apps portable and adoptable across diverse software project settings of MSR researchers and practitioners. The structured design of a Candoia app and the languages selected for building various components of a Candoia app promotes easy customization. To evaluate Candoia we have built over two dozen MSR apps for analyzing bugs, software evolution, project management aspects, and source code and programming practices showing the applicability of the platform for building a variety of MSR apps. For testing portability of apps across diverse project settings, we tested the apps using ten popular project repositories, such as Apache Tomcat, JUnit, Node.js, etc, and found that apps required no changes to be portable. We performed a user study to test customizability and we found that five of eight Candoia users found it very easy to customize an existing app. Candoia is available for download. Disciplines Computer Sciences | Software Engineering Comments This article is published as Tiwari, Nitin M., Ganesha Upadhyaya, Hoan Anh Nguyen, and Hridesh Rajan. "Candoia: a platform for building and sharing mining software repositories tools as apps." In Proceedings of the 14th International Conference on Mining Software Repositories, pp. 53-63. IEEE Press, 2017. Posted with permission. Rights

We introduce Candoia, a platform and ecosystem for building Mining Software Repositories (MSR) tools. The platform is designed to support building of MSR tools by providing necessary tools and abstractions that hide the complex details of version control, bug databases, source code programming languages and forges. The ecosystem allows easy sharing and accessing of MSR apps for researchers and practitioners. We have some initial evidence about Candoia's applicability in building robust MSR tools (over two dozen prebuilt apps in the first public release of Candoia), adoptability and interoperability (apps run on widely used projects such as Apache Tomcat, Apache Hadoop etc) and easy customizability (an user study). Candoia is available for download from http://candoia.org.

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Today we are working with the networks all around and that's why it becomes very important to find the effective flow of the commodity within that network. This paper aims to provide an analysis of the best known algorithm for calculating maximum flow of any network and to propose an approximate algorithm, which can solve the same problem with lesser complexity, desirably lesser than the complexity of the known Stoer-Wagner algorithm. This paper addresses this problem with a new approach, which uses upper bound values of each node in the network.Results are compared with fixed number of nodes and variable number of nodes in the network. Moreover networks with variable densities are also considered. Results are obtained by programming the both algorithms in C++.Unix scripts are also used for formatting the results.