While the average software user expects software to be bug free, software developers know that developing bug-free code is an extremely difficult undertaking. This difficulty stems in large measure from the inherent complexity of software and the challenges that complexity poses for developing and ...
To this standard tooling, a second level is added—with more specific checks over quality attributes, such as lines of code per class/module, code-coverage statistics, static analysis, style analysis, cyclomatic complexity, afferent and efferent coupling, dependencies, and more. Some of the tools ...
Hybrid approach. Many experts view a hybrid approach that employs both neural networks and rule-based programming as the best solution. Developers can resolve the inherent complexity of neural networks by introducing redundancy—specific neural networks for individual processe...
Cyclomatic complexity is a quantitative measure of the linearly independent paths in source code that can help you understand the complexity of your program and improve code coverage
As smart environments become a reality, they need to cope with the inherent complexity of the data management challenges that they face. In this paper, we identified the shared data management requirements for Internet-of-Things (IoT) enabled smart energy and water environments. The paper explores...
Every once in a while, an evolutionary leap rapidly advances and reshapes the entire field of engineering. Such a leap occurred in software development with the introduction of the C++ programming language. This leap was not inherent in the language itself: object-oriented languages such as ...
There are several factors that contribute to the inherent complexity. Firstly, digitalisation impacts the interactions in human organisations that are complex systems before the technology arrived on the scene. Secondly, computer software captures and materialise human ideas and thoughts with the caveat ...
Not all computing problems are created equal. The inherent complexity of processing certain classes of problems using digital computers has inspired the exploration of alternate computing paradigms. Coupled oscillators exhibiting rich spatio-temporal dynamics have been proposed for solving hard optimization pr...
using a Converged Software-Defined Network Transport (Converged SDN Transport) framework can help CSPs reduce the overall complexity of their network and operations. It also provides the controls into their network to satisfy the stringent performance needs of today’s advanced service...
The challenges of capturing and sustaining value in quality Pressure on the cost of quality is intensifying as the integration of software and hardware increases product complexity. Additionally, customer expectations about product features continue to rise, with bad news about a ...