Abstract
A huge wealth of data exists in software life cycle, and hidden in the data is information about the quality of software and services as well as the dynamics of software development. With various analytical and computing technologies, software analytics is to obtain insightful and actionable information for data-driven tasks in engineering software and services. In this chapter, we discuss the different aspects of software analytics, and we also share our lessons learned when putting software analytics into practice.
| Original language | English (US) |
|---|---|
| Title of host publication | Perspectives on Data Science for Software Engineering |
| Publisher | Elsevier |
| Pages | 7-11 |
| Number of pages | 5 |
| ISBN (Electronic) | 9780128042069 |
| ISBN (Print) | 9780128042618 |
| DOIs | |
| State | Published - Jan 1 2016 |
Keywords
- connection to practice
- research topics
- Software analytics
- target audience
- technology pillars
ASJC Scopus subject areas
- Computer Science(all)