scholarly journals Trivial Compiler Equivalence: A Large Scale Empirical Study of a Simple, Fast and Effective Equivalent Mutant Detection Technique

2015 ◽  
Author(s):  
Mike Papadakis ◽  
Yue Jia ◽  
Mark Harman ◽  
Yves Le Traon
Keyword(s):  
Empirical Study ◽  
Large Scale ◽  
Detection Technique ◽  
Mutant Detection

A Large-Scale Empirical Study of Conficker

2012 ◽  
Vol 7 (2) ◽  
pp. 676-690 ◽  
Author(s):  
Seungwon Shin ◽  
Guofei Gu ◽  
Narasimha Reddy ◽  
Christopher P. Lee
Keyword(s):  
Empirical Study ◽  
Large Scale

scholarly journals Audio Mining: The Role of Vocal Tone in Persuasion

2021 ◽  
Author(s):  
Xin (Shane) Wang ◽  
Shijie Lu ◽  
X I Li ◽  
Mansur Khamitov ◽  
Neil Bendle
Keyword(s):  
Empirical Study ◽  
Large Scale ◽  
Controlled Experiments ◽  
The Core ◽  
Content Model ◽  
Stereotype Content ◽  
Key Indicators ◽  
The Impact ◽  
Insight Into

Abstract Persuasion success is often related to hard-to-measure characteristics, such as the way the persuader speaks. To examine how vocal tones impact persuasion in an online appeal, this research measures persuaders’ vocal tones in Kickstarter video pitches using novel audio mining technology. Connecting vocal tone dimensions with real-world funding outcomes offers insight into the impact of vocal tones on receivers’ actions. The core hypothesis of this paper is that a successful persuasion attempt is associated with vocal tones denoting (1) focus, (2) low stress, and (3) stable emotions. These three vocal tone dimensions—which are in line with the stereotype content model—matter because they allow receivers to make inferences about a persuader’s competence. The hypotheses are tested with a large-scale empirical study using Kickstarter data, which is then replicated in a different category. In addition, two controlled experiments provide evidence that perceptions of competence mediate the impact of the three vocal tones on persuasion attempt success. The results identify key indicators of persuasion attempt success and suggest a greater role for audio mining in academic consumer research.

The Secret Life of Software Vulnerabilities: A Large-Scale Empirical Study

2022 ◽  
pp. 1-1
Author(s):  
Emanuele Iannone ◽  
Roberta Guadagni ◽  
Filomena Ferrucci ◽  
Andrea De Lucia ◽  
Fabio Palomba
Keyword(s):  
Empirical Study ◽  
Large Scale ◽  
Software Vulnerabilities

Topic in Music: An Empirical Study of Memorability, Openness, and Emotion in Mozart's String Quintet in C Major and Beethoven's String Quartet in A Minor

1998 ◽  
Vol 16 (1) ◽  
pp. 119-134 ◽  
Author(s):  
Carol L. Krumhansl
Keyword(s):  
Empirical Study ◽  
Real Time ◽  
String Quartet ◽  
Large Scale ◽  
Musical Training ◽  
Discourse Structure ◽  
Musical Form ◽  
Psychological Reality ◽  
String Quintet ◽  
A Minor

This study examines possible parallels between large-scale organization in music and discourse structure. Two experiments examine the psychological reality of topics in the first movements of W. A. Mozart's String Quintet No. 3 in C major, K. 515, and L. van Beethoven's String Quartet No. 15 in A minor, Op. 132. Listeners made real-time judgments on three continuous scales: memorability, openness, and amount of emotion. All three kinds of judgments could be accounted for by the topics identified in these pieces by Agawu (1991) independently of the listeners' musical training. The results showed hierarchies of topics. However, these differed for the three tasks and for the two pieces. The topics in the Mozart piece appear to function as a way of establishing the musical form, whereas the topics in the Beethoven piece are more strongly associated with emotional content.

A Large-Scale Empirical Study on Software Reuse in Mobile Apps

IEEE Software ◽  
2014 ◽  
Vol 31 (2) ◽  
pp. 78-86 ◽  
Author(s):  
Israel J. Mojica ◽  
Bram Adams ◽  
Meiyappan Nagappan ◽  
Steffen Dienst ◽  
Thorsten Berger ◽  
...  
Keyword(s):  
Empirical Study ◽  
Software Reuse ◽  
Large Scale ◽  
Mobile Apps

Co-change patterns: A large scale empirical study

2019 ◽  
Vol 152 ◽  
pp. 196-214 ◽  
Author(s):  
Luciana L. Silva ◽  
Marco Tulio Valente ◽  
Marcelo A. Maia
Keyword(s):  
Empirical Study ◽  
Large Scale
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