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Theoretical Aspects of Software Engineering

Overview of attention for book
Cover of 'Theoretical Aspects of Software Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Practical Theory of Computation on Structures
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    Chapter 2 Complexity of Distributed Petri Net Synthesis
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    Chapter 3 Repairing Adversarial Texts Through Perturbation
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    Chapter 4 Formal Verification of a Keystore
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    Chapter 5 A Case Study in the Automated Translation of BSV Hardware to PVS Formal Logic with Subsequent Verification
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    Chapter 6 Sound Static Analysis of Regular Expressions for Vulnerabilities to Denial of Service Attacks
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    Chapter 7 On Verification of Smart Contracts via Model Checking
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    Chapter 8 Equivalence of Denotational and Operational Semantics for Interaction Languages
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    Chapter 9 Automatic Classification of Bug Reports Based on Multiple Text Information and Reports’ Intention
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    Chapter 10 Collaborative Verification of Uninterpreted Programs
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    Chapter 11 MSDetector: A Static PHP Webshell Detection System Based on Deep-Learning
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    Chapter 12 Extending Process Algebra with an Undefined Action
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    Chapter 13 Machine-Assisted Proofs for Institutions in Coq
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    Chapter 14 Optimizing Trans-Compilers in Runtime Verification Makes Sense – Sometimes
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    Chapter 15 Testing Vehicle-Mounted Systems: A Stepwise Symbolic Execution Approach for OSEK/VDX Programs
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    Chapter 16 Dynamic Specification Mining Based on Transformer
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    Chapter 17 Dynamic Environment Simulation for Database Performance Evaluation
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    Chapter 18 Extending SysML with Refinement and Decomposition Mechanisms to Generate Event-B Specifications
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    Chapter 19 Development of Monitoring Systems for Anomaly Detection Using ASTD Specifications
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    Chapter 20 A Language-Based Causal Model for Safety
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    Chapter 21 Consistency of Heterogeneously Typed Behavioural Models: A Coalgebraic Approach
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    Chapter 22 Improving Adversarial Robustness of Deep Neural Networks via Linear Programming
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    Chapter 23 AllSynth: Transiently Correct Network Update Synthesis Accounting for Operator Preferences
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    Chapter 24 End-to-End Heat-Pump Control Using Continuous Time Stochastic Modelling and Uppaal Stratego
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    Chapter 25 Security Vulnerabilities Detection Through Assertion-Based Approach
  27. Altmetric Badge
    Chapter 26 The Complexity of Evaluating Nfer
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    Chapter 27 Supporting Algorithm Analysis with Symbolic Execution in Alk
Attention for Chapter 9: Automatic Classification of Bug Reports Based on Multiple Text Information and Reports’ Intention
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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6 X users

Citations

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2 Dimensions

Readers on

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5 Mendeley
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Chapter title
Automatic Classification of Bug Reports Based on Multiple Text Information and Reports’ Intention
Chapter number 9
Book title
Theoretical Aspects of Software Engineering
Published in
arXiv, July 2022
DOI 10.1007/978-3-031-10363-6_9
Book ISBNs
978-3-03-110362-9, 978-3-03-110363-6
Authors

Fanqi Meng, Xuesong Wang, Jingdong Wang, Peifang Wang, Meng, Fanqi, Wang, Xuesong, Wang, Jingdong, Wang, Peifang

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Unknown 3 60%
Readers by discipline Count As %
Arts and Humanities 1 20%
Business, Management and Accounting 1 20%
Unknown 3 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 August 2022.
All research outputs
#15,175,585
of 24,093,053 outputs
Outputs from arXiv
#295,510
of 1,020,419 outputs
Outputs of similar age
#211,150
of 423,515 outputs
Outputs of similar age from arXiv
#9,688
of 35,718 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,020,419 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 423,515 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35,718 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.