Genetic improvement (GI) uses automated search to find improved versions of existing
software. We present a comprehensive survey of this nascent field of research with a focus …

Evolutionary computation is inspired by the mechanisms of biological evolution. With
algorithmic improvements and increasing computing resources, evolutionary computation …

Given recent algorithm, software, and hardware innovation, computing has enabled a
plethora of new applications. As computing becomes increasingly ubiquitous, however, so …

Genetic Improvement (GI) is an area of Search Based Software Engineering which seeks to
improve software's non-functional properties by treating program code as if it were genetic …

Software optimization refines programs for resource efficiency while preserving functionality.
Traditionally, it is a process done by developers and compilers. This paper introduces a third …

Despite recent increase in research on improvement of non-functional properties of
software, such as energy usage or program size, there is a lack of standard benchmarks for …

Automated program repair techniques use a buggy program and a partial specification
(typically a test suite) to produce a program variant that satisfies the specification. While prior …

Machine learning accounts for considerable global electricity demand and resulting
environmental impact, as training a large deep-learning model produces 284000kgs of the …

Software power estimation of CPUs is a central concern for energy efficiency and resource
management in data centers. Over the last few years, a dozen of ad hoc power models have …

We are living in the era of" Big Data" and the computing power required to deal with" Big
Data" both in terms of its energy consumption and technical complexity is one of the key …