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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… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Coupling strategies for silicon photonics integrated chips [Invited]
Over the last 20 years, silicon photonics has revolutionized the field of integrated optics, providing a novel and powerful… Expand
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Review
2019
Review
2019
Transactive Real-Time Electric Vehicle Charging Management for Commercial Buildings With PV On-Site Generation
In the future smart grids, it is important for prosumers to manage uncertainties from distributed renewable energy sources such… Expand
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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… Expand
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Highly Cited
2001
Highly Cited
2001
Gibbs Sampling Methods for Stick-Breaking Priors
A rich and flexible class of random probability measures, which we call stick-breaking priors, can be constructed using a… Expand
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Highly Cited
2000
Highly Cited
2000
A Staged Model for the Software Life Cycle
Software engineers have traditionally considered any work after initial delivery as simply software maintenance. Some researchers… Expand
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Highly Cited
1995
Highly Cited
1995
Cost models for future software life cycle processes: COCOMO 2.0
Current software cost estimation models, such as the 1981 Constructive Cost Model (COCOMO) for software cost estimation and its… Expand
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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… Expand
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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… Expand
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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… Expand
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Highly Cited
1991
Highly Cited
1991
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… Expand
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