Measuring of Software Maintainability Using Adaptive Fuzzy Neural Network

Zavvar, Mohammad; Ramezani, Farhad

doi:10.5815/ijmecs.2015.10.04

Cited by 8 publications

(2 citation statements)

References 19 publications

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“…The main idea of these networks inspired by the way biological nervous system function, to process data and information to the learning and knowledge creation. [15,16] The key element of this idea, the creation of new structures for information processing systems. The system of processing formed extremely large number of interconnected neurons to solve a In this network, the actual output compared with the desired output and the weights by propagation algorithm, is placed under the supervision of the appropriate pattern is formed.…”

Section: B Artificial Neural Networkmentioning

confidence: 99%

Email Spam Detection Using Combination of Particle Swarm Optimization and Artificial Neural Network and Support Vector Machine

Zavvar¹,

Rezaei²,

Garavand³

2016

IJMECS

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Section: B Artificial Neural Networkmentioning

confidence: 99%

Email Spam Detection Using Combination of Particle Swarm Optimization and Artificial Neural Network and Support Vector Machine

Zavvar¹,

Rezaei²,

Garavand³

2016

IJMECS

Self Cite

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show abstract

“…In [67], proposed a method for topic identification in web documents using web design features. In [68], topic modeling was applied to measuring software maintainability.…”

Section: Applications Of Topic Modelingmentioning

confidence: 99%

A Survey on Journey of Topic Modeling Techniques from SVD to Deep Learning

Sharma¹,

Kumar²,

Chand³

2017

IJMECS

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Abstract-Topic modeling techniques have been primarily being used to mine the topics from text corpora. These techniques reveal the hidden thematic structure in a collection of documents and facilitate to build up new ways to browse, search and summarize large archive of texts. A topic is a group of words that frequently occur together. A topic modeling can connect words with similar meanings and make a distinction between uses of words with several meanings. Here we present a survey on journey of topic modeling techniques comprising Latent Dirichlet Allocation (LDA) and non-LDA based techniques and the reason for classify the techniques into LDA and non-LDA is that LDA has ruled the topic modeling techniques since its inception. We have used the three hierarchical classification criteria's for classifying topic models that include LDA and non-LDA based, bag-of-words or sequence-of-words approach and unsupervised or supervised learning for our survey. Purpose of this survey is to explore the topic modeling techniques since Singular Value Decomposition (SVD) topic model to the latest topic models in deep learning. Also, provide the brief summary of current probabilistic topic models as well as a motivation for future research.

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A systematic literature review on empirical studies towards prediction of software maintainability

Malhotra

Lata

2020

Soft Comput

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Measuring of Software Maintainability Using Adaptive Fuzzy Neural Network

Cited by 8 publications

References 19 publications

Email Spam Detection Using Combination of Particle Swarm Optimization and Artificial Neural Network and Support Vector Machine

Email Spam Detection Using Combination of Particle Swarm Optimization and Artificial Neural Network and Support Vector Machine

A Survey on Journey of Topic Modeling Techniques from SVD to Deep Learning

A systematic literature review on empirical studies towards prediction of software maintainability

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