Skip to search formSkip to main contentSkip to account menu

Software release life cycle

Known as: RC1, Gone gold, Alpha-test 
A software release life cycle is the sum of the stages of development and maturity for a piece of computer software: ranging from its initial… 
Wikipedia

Related topics

Related topics

50 relations
Adobe Atmosphere Community ServerBlue MarsBrackets (Religion)DayZ

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Grey Wolf Optimizer
Highly Cited
2014
Highly Cited
2014
The Cross Section of Expected Stock Returns
This paper studies the cross-sectional properties of return forecasts derived from Fama-MacBeth regressions. These forecasts… 
Highly Cited
2013
Highly Cited
2013
Making a “Completely Blind” Image Quality Analyzer
An important aim of research on the blind image quality assessment (IQA) problem is to devise perceptual models that can predict… 
Review
2009
Review
2009
The WEKA data mining software: an update
More than twelve years have elapsed since the first public release of WEKA. In that time, the software has been rewritten… 
Review
2006
Review
2006
Multi-objective optimization using genetic algorithms: A tutorial
Highly Cited
2000
Highly Cited
2000
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
Multi-objective evolutionary algorithms which use non-dominated sorting and sharing have been mainly criticized for their (i) O… 
Highly Cited
1995
Highly Cited
1995
On genetic algorithms
We analyze the performance of a Genetic Type Algorithm we call Culling and a variety of other algorithms on a problem we refer to… 
Highly Cited
1995
Highly Cited
1995
Simulated Binary Crossover for Continuous Search Space
Abst ract . T he success of binary-coded gene t ic algorithms (GA s) in problems having discrete sear ch space largely depends on… 
Highly Cited
1994
Highly Cited
1994
A niched Pareto genetic algorithm for multiobjective optimization
Many, if not most, optimization problems have multiple objectives. Historically, multiple objectives have been combined ad hoc to… 
Highly Cited
1994
Highly Cited
1994
Adaptive probabilities of crossover and mutation in genetic algorithms
In this paper we describe an efficient approach for multimodal function optimization using genetic algorithms (GAs). We recommend… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License