Abstract: In an agile delivery program, hundreds of team members are organised into multiple agile teams work in a synchronized manner, to build a product. Normally, they are geographically distributed teams need to have the infrastructure and tools, to manage their agile delivery seamlessly. In addition to team, a product backlog, and sprint duration also need to be managed the simultaneously. A system and method for managing a program in an agile delivery environment using a single integrated platform has been described. The method involves providing a set of visions to each of the members working in the program. The set of goals, the teams and sprint duration are then provided. The profiling and machine learning techniques are then performed on these parameters to generate an optimal release plan for the release of the product.

Abstract: Multiple tools are used in the software development environment for automation of software build and to perform quality checks on code. However, because of an iterative software development process, multiple tests need to be performed using various tools resulting in a large number of test outputs at different points in time. This makes it difficult for users to get a composite view of quality parameters in one location. A system and method has been described to implement a parser to parse through output data generated by the various tools, extract measures data and measures values from the output data perform an analysis by receiving a user input on the results data to identify trends, generate a confidence parameter and a cross relation analysis to attribute to a probable cause of lapse in the software development stages and create a composite view of quality parameters of the software build.

Abstract: In an agile delivery program, hundreds of team members are organised into multiple agile teams work in a synchronized manner, to build a product. Normally, they are geographically distributed teams need to have the infrastructure and tools, to manage their agile delivery seamlessly. In addition to team, a product backlog, and sprint duration also need to be managed the simultaneously. A system and method for managing a program in an agile delivery environment using a single integrated platform has been described. The method involves providing a set of visions to each of the members working in the program. The set of goals, the teams and sprint duration are then provided. The profiling and machine learning techniques are then performed on these parameters to generate an optimal release plan for the release of the product.

Abstract: Multiple tools are used in the software development environment for automation of software build and to perform quality checks on code. However, because of an iterative software development process, multiple tests need to be performed using various tools resulting in a large number of test outputs at different points in time. This makes it difficult for users to get a composite view of quality parameters in one location. A system and method has been described to implement a parser to parse through output data generated by the various tools, extract measures data and measures values from the output data perform an analysis by receiving a user input on the results data to identify trends, generate a confidence parameter and a cross relation analysis to attribute to a probable cause of lapse in the software development stages and create a composite view of quality parameters of the software build.