Search Results - "Bisi, Manjubala"

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  1. 1

    BAFS: binary artificial bee colony based feature selection approach to estimate software development effort by Manchala, Pravali, Bisi, Manjubala, Agrawal, Sonali

    “…During the Software Development Life Cycle (SDLC) process, software effort estimation models need to determine the effort required to build a project so that…”
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    Journal Article
  2. 2

    Diversity based imbalance learning approach for software fault prediction using machine learning models by Manchala, Pravali, Bisi, Manjubala

    Published in Applied soft computing (01-07-2022)
    “…The Software fault prediction (SFP) target is to distinguish between faulty and non-faulty modules. The prediction model’s performance is vulnerable to the…”
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    Journal Article
  3. 3

    A study on cross-project fault prediction through resampling and feature reduction along with source projects selection by Manchala, Pravali, Bisi, Manjubala

    Published in Automated software engineering (01-11-2024)
    “…Software Fault Prediction is an efficient strategy to improve the quality of software systems. In reality, there won’t be adequate software fault data for a…”
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    Journal Article
  4. 4

    Ensemble learning and stacked convolutional neural network for Covid-19 situational information analysis using social media data by Bisi, Manjubala, Maurya, Rahul

    Published in Multimedia tools and applications (19-02-2024)
    “…Twitter has evolved into a primary platform for sharing opinions and insights on current events, such as the ongoing coronavirus pandemic. It’s now regarded as…”
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    Journal Article
  5. 5

    TSoptEE: two-stage optimization technique for software development effort estimation by Manchala, Pravali, Bisi, Manjubala

    Published in Cluster computing (01-10-2024)
    “…Accurate software development effort estimation (SDEE) is vital for effective project planning. Due to the complex nature of software projects, estimating…”
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    Journal Article
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  7. 7

    Software Fault Localization using Jaya Algorithm by Bisi, Manjubala, Vishvkarma, Vijay

    “…Localizing the software faults is a complex and time consuming task during software development process. Spectrum based fault localization (SBFL) models are…”
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    Conference Proceeding
  8. 8

    ANN-PSO Approach on Logistic Model based Software Reliability Prediction by Bisi, Manjubala

    “…Reliable software can be produced within given time and budget constraints using software reliability prediction model. In this paper, Logistic Growth Curve…”
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    Conference Proceeding
  9. 9

    An ANN-TLBO Model to Predict Cumulative Number of Failures in Software by Bisi, Manjubala

    Published in 2020 IEEE-HYDCON (11-09-2020)
    “…Determining release time of software is an important task for the software project managers in software industry. They need information such as cumulative…”
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    Conference Proceeding
  10. 10

    Software Fault Localization using CNN-LSTM Model by Singh, Vishwank Vikram, Bisi, Manjubala

    “…Software fault localization is a critical task which identify the faulty statements in a program. Traditional fault localization techniques are unable to…”
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    Conference Proceeding
  11. 11

    Ensembling Teaching-Learning-Based Optimization Algorithm with Analogy-Based Estimation to Predict Software Development Effort by Manchala, Pravali, Bisi, Manjubala

    “…Accurate evaluation of software development effort estimation is a significant challenge for project planning and management. The analogy-based estimation…”
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    Conference Proceeding
  12. 12

    CNN-BPSO approach to Select Optimal Values of CNN Parameters for Software Requirements Classification by Bisi, Manjubala, Keskar, Kirti

    “…Software requirement analysis plays a vital role in Software Development Life Cycle (SDLC). Users requests are transformed into structured software…”
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    Conference Proceeding
  13. 13

    Source Project Selection for Cross-Project Software Defect Prediction using Clustering Approach by Patil, Mohit, Bisi, Manjubala, Manchala, Pravali

    “…Software Defect prediction (SDP) has an effective role in improving the software system quality. However, defect prediction models using local data have poor…”
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    Conference Proceeding
  14. 14

    A BPSO-ANN model for Trust Prediction of Cloud Services by Bisi, Manjubala, Patel, Shubham

    “…Trustworthiness prediction of cloud services is a challenging task in cloud environment. Introduction of new services affect the service quality and user…”
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    Conference Proceeding
  15. 15

    Optimizing Automatic Test Case Generation Using Singular Value Decomposition Approach by Bisi, Manjubala, Srivastava, Aryan, Verma, Abhishek, Kumar, Aditya

    “…Test case generation is a complex problem when dealing with multiple objectives, which hinders search efficiency with algorithms like DynaMOSA in the EvoSuite…”
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    Conference Proceeding
  16. 16

    Software Development Effort Estimation using SNS Algorithm by Jain, Diksha, Manchala, Pravali, Mustyala, Sarika, Bisi, Manjubala

    “…Software development effort estimation (SDEE) is important in determining how much work will be required to finish a software development activity. However,…”
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    Conference Proceeding
  17. 17

    Sentiment Analysis of Tweets during Covid-19 Lockdown in India by Jindal, Deepanshu, Kumawat, Yash, Sharma, Aditya Kumar, Bisi, Manjubala

    “…Sentiment analysis has become most important and most popular field of natural language processing(NLP). Emotions can be extracted out of text using sentiment…”
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    Conference Proceeding
  18. 18

    CNN-BPSO Model for Multi Classification of Tweets by Bisi, Manjubala, Divija, Ankam, Namala, Sowmya, Sarap, Rohan

    “…Twitter is a widely used platform for sharing views and opinions about every ongoing topic in public. A huge amount of opinion oriented data are posted on this…”
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    Conference Proceeding
  19. 19

    Software Effort Estimation using Multi-objective Binary Rao Algorithm by Kadali, Sai Vivek, Sahukari, Sai Vamsi, Kalyanam, Vasantha Eswari Devi, Bisi, Manjubala

    “…Software effort estimation depends on the standard of features that are considered. Considering irrelevant features will effect the model by degrading its…”
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    Conference Proceeding
  20. 20

    Software Fault-Prone Module Classification Using Learning Automata based Deep Neural Network Model by Ahmed, Mohammad Mushtaq, Kiran, Bura Santhi, Sai, Pododdi Harshavardhan, Bisi, Manjubala

    “…The software systems usually include some defects that will show adverse effects on the use of the application. Software fault-prone module will help software…”
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    Conference Proceeding