Extending Search-Based Software Testing Techniques to Big Data Applications

摘要

Massive datasets are quickly becoming a concern for many industries. For example, many web-based applications must be able to handle petabytes worth of transactions on a daily basis, and moreover, be able to quickly and efficiently act upon data that exists in each transaction. As a result, providing testing capabilities for such applications becomes a challenge of scale. We argue that existing approaches, such as automated test suite generation, may not necessarily scale without assistance. To this end, we discuss open issues and possible solutions specific to testing big data applications.