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Software development is information-dense knowledge work that requirescollaboration with other developers and awareness of artifacts such as workitems, pull requests, and files. With the speed of development increasing,information overload is a challenge for people developing and maintaining thesesystems. Finding information and people is difficult for software engineers,especially when they work in large software systems or have just recentlyjoined a project. In this paper, we build a large scale data platform namedNalanda platform, which contains two subsystems: 1. A large scalesocio-technical graph system, named Nalanda graph system 2. A large scalerecommendation system, named Nalanda index system that aims at satisfying theinformation needs of software developers. The Nalanda graph is an enterprisescale graph with data from 6,500 repositories, with 37,410,706 nodes and128,745,590 edges. On top of the Nalanda graph system, we built softwareanalytics applications including a newsfeed named MyNalanda, and based onorganic growth alone, it has Daily Active Users (DAU) of 290 and Monthly ActiveUsers (MAU) of 590. A preliminary user study shows that 74% of developers andengineering managers surveyed are favorable toward continued use of theplatform for information discovery. The Nalanda index system constitutes twoindices: artifact index and expert index. It uses the socio-technical graph(Nalanda graph system) to rank the results and provide better recommendationsto software developers. A large scale quantitative evaluation shows that theNalanda index system provides recommendations with an accuracy of 78% for thetop three recommendations.

Nalanda: A Socio-Technical Graph for Building Software Analytics Tools at Enterprise Scale