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There are strong motivating factors for more effective performance measurement practices in software development. Astute practices in this domain are lauded to improve efficiency and effectiveness. However previous studies have shown that measurement in
Thomas Murphy, Kathryn Cormican
doaj
High-Precision Measurement of Sine and Pulse Reference Signals Using Software-Defined Radio [PDF]
This paper addresses simultaneous high-precision measurement and analysis of generic reference signals by using inexpensive commercial off-the-shelf software-defined radio hardware.
Carsten Andrich+4 more
semanticscholar +1 more source
By simulating the sound field of a round piston transducer with the Kirchhoff integral theorem and analyzing the shape of ultrasound beams and propagation characteristics in a metal container wall, this study presents a model for calculating the echo ...
Bin Zhang+4 more
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Toward Measures for Software Architectures [PDF]
This technical note describes the results of a preliminary investigation into measures for software architecture. It focuses on measures that directly indicate the health of or detect a problem with the software architecture of an up-and-running software system. Defining these architectural measures is very difficult.
Gary J. Chastek, Robert Ferguson
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Categorical Variable Segmentation Model for Software Development Effort Estimation
This paper proposes a new software development effort estimation model. The new model's design is based on the function point analysis, categorical variable segmentation (CVS), and stepwise regression.
Petr Silhavy+2 more
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Recently, flexible iontronic pressure sensors (FIPSs) with higher sensitivities and wider sensing ranges than conventional capacitive sensors have been widely investigated. Due to the difficulty of fabricating the nanostructures that are commonly used on
Zekun Yang+12 more
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There are strong motivating factors for more effective performance measurement practices in software development. Astute practices in this domain are lauded to improve efficiency and effectiveness.
Thomas Murphy, Kathryn Cormican, , ,
doaj +1 more source
In this paper, a fault identification algorithm combining a signal processing algorithm and machine learning algorithm is proposed, using a four-mass vibration MEMS gyroscope (FMVMG) for signal acquisition work, constructing a gyroscope fault dataset ...
Yikuan Gu+6 more
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Biometric Measurement in Software Engineering
Biometric sensor technology provides new opportunities to measure physiological changes in the human body that can be linked to various psychological processes. In software engineering, these biometric measurements can be used to gain insights on fundamental cognitive and emotional processes of software developers while they are working.
Fritz, Thomas, Fagerholm, Fabian
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Software Measurement and Defect Prediction with Depress Extensible Framework
Context. Software data collection precedes analysis which, in turn, requires data science related skills. Software defect prediction is hardly used in industrial projects as a quality assurance and cost reduction mean. Objectives.
L. Madeyski, Marek Majchrzak
semanticscholar +1 more source