Because performance is paramount today, this thoroughly updated guide shows you how to
test mission-critical applications for scalability and performance before you deploy them …

Janet Gregory and Lisa Crispin pioneered the agile testing discipline with their previous
work, Agile Testing. Now, in More Agile Testing, they reflect on all they've learned since …

Modern build systems help increase developer productivity by performing incremental
building and testing. These build systems view a software project as a group of …

Unstructured data is the largest and fastest growing portion of most enterprise's assets, often
representing 70% to 80% of online data. These steep increase in volume of information …

Background: Current checklists for empirical software engineering cover either experimental
research or case study research but ignore the many commonalities that exist across all …

Regression test selection (RTS) speeds up regression testing by only re-running tests that
might be affected by code changes. Ideal RTS safely selects all affected tests and precisely …

Satisfying performance requirements is of great importance for performance-critical software
systems. Performance analysis to provide an estimation of performance indices and …

MapReduce is a parallel data processing paradigm oriented to process large volumes of
information in data-intensive applications, such as Big Data environments. A characteristic of …

Viable experiment suites are in high demand by scientists in software engineering and
especially for software quality. In particular, easy to understand yet feature rich case studies …

Context: Software source code is frequently changed for fixing revealed bugs. These bug-
fixing changes might introduce unintended system behaviors, which are inconsistent with …