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In order to see if process assessment drives processes learning, process assessments were performed in the capstone project of a Bachelor in Computer Science. Assessments use an ability model based on a small subset of ISO/IEC 15504 processes, its main Base Practices and Work Products. Students' point of view was also collected through an anonymous questionnaire. Self-assessment using a competency...
Background: Experiment-driven development with the help of real usage data helps to build software products and services that are of high value to their users. As more software companies use experimentation in their development practises, ethical concerns are increasingly important. Objective: There is a need for understanding the ethical issues companies must take into account when practising experimentation...
Context: In organizational psychology literature, Task Variety and Skill Variety are considered different aspects of work design. Albeit related to different aspects of the work, it is common to find strong correlations between these constructs. After applying the Work Design Questionnaire (WDQ) on a sample of 102 software professional, we found the similar correlations and conjectured that they were...
The value of a software product diminishes due to emerging new requirements and gradual changes in system usage patterns over its lifespan, including other direct or indirect impacts from the surrounding environment. Often new requirements or changes cannot be addressed instantly; therefore, the system becomes less effective with incompatible or unused features, gradually degrading the overall value...
Gene Co-expression Network (GCN) analysis is a method to characterize the complexity underlying biological systems. With an increasing availability of datasets available for mining complex gene expression patterns, novel algorithms and computational frameworks must be developed to take advantage of the wealth of information. OSG-KINC is a Pegasus workflow that enables highly parallel execution of...
The purpose of this study is to determine the sleep status of college students. 12 volunteers(mean ± SE: 22 ± 2 yr, 170 ± 10cm, 61 ± 16 kg) take part in the research. The sleep situation are got by the waistband sleep monitor system. The average heart rate of the whole night, the average breath rate of the whole night, bed time, get up time, onset latency, total sleep time are monitored. These important...
To increase the success in computer programming courses, it is important to understand the learning process and common difficulties faced by students. Although several studies have investigated possible relationships between students performance and self-regulated learning characteristics in computer programming courses, little attention has been given to the source code produced by students in this...
Program understanding plays a pivotal role in software maintenance and evolution: a deep understanding of code is the stepping stone for most software-related activities, such as bug fixing or testing. Being able to measure the understandability of a piece of code might help in estimating the effort required for a maintenance activity, in comparing the quality of alternative implementations, or even...
Finding suitable developers for a given task is critical and challenging for successful crowdsourcing software development. In practice, the development skills will be improved as developers accomplish more development tasks. Prior studies on crowdsourcing developer recommendation do not consider the changing of skills, which can underestimate developers' skills to fulfill a task. In this work, we...
In this paper, a description of the software is provided that allows to obtain an automated objective quantitative assessment of the patient's speech quality. The evaluation is carried out in the process of speech rehabilitation after surgical treatment of oncological diseases of the organs of the speech-forming tract. The evaluation is obtained based on comparing patient records before the operation...
The objective of the represented work is the effectiveness increase of PJ signals estimation in digital paths of telecommunication systems. The method and the device of phase jitter estimation of clock signals are suggested. That is characterized by enhanced resolving power and statistical stability of estimates by means of digital multistage periodogram-correlogram processing of jitter signals.
Organizations face the issue of how to best allocate their security resources. Thus, they need an accurate method for assessing how many new vulnerabilities will be reported for the operating systems (OSs) they use in a given time period. Our approach consists of clustering vulnerabilities by leveraging the text information within vulnerability records, and then simulating the mean value function...
Unit testing has been considered as having a key role in building high quality software, and therefore it has been widely used in practice. However, data on the relationship between unit testing and aspects of software quality remain scarce. A survey study with 235 survey responses from seven organizations was conducted in order to understand the correlation between practitioners' perception of code...
In software and IT systems engineering, personal characteristics are expected to impact performance and attitude. To clarify the optimal composition in a team of students in academic education, we researched the relationship between student personality characteristics and learning effectiveness of teams using the Five Factor and Stress theory (FFS). The results taken from a Project-based Learning...
In the multi-temporal InSAR technique, a deformation map is obtained by arc integration. Therefore, the reliability of an arc solution directly influences the precision of the final result. Many methods have been proposed to estimate arc parameters, but few have evaluated the arc quality. In this study, the influence of phase ambiguity is analyzed and two indicators are defined to identify the arcs...
In this paper, we extend our prior work on efficient policy composition for Software Defined Networks and propose a machine learning based framework for anomaly free, on demand, application-aware software defined firewalling. We use a combination of Propositional Logic, Artificial Neural Networks and Hidden Markov Models to create the framework.
Spreadsheets often contain faults that are difficult to localize. Spectrum-based Fault Localization (SFL) assists users in the fault localization process by ranking cells by their suspiciousness to contain a fault. Since the ranking of the basic SFL approach is often imprecise, we propose three techniques to improve it, i.e., dynamic cones, grouping, and tie-breaking. We evaluate these techniques...
Static analysis tools (e.g., FindBugs) are widely used to detect potential defects in software development. A recent study suggests that there is a moderate correlation between the alerts reported by static analysis tools and software defects [1]. However, despite the actionable alerts reported by static analysis tools, they may report too many meaningless unactionable alerts. Actionable alert refers...
In order to reduce software energy consumption, a lot of studies have been carried out focusing on the difference of implementation, such as API and algorithm. However, we hypothesize that there is a strong correlation between total energy consumption of a program and duration of its execution. If this hypothesis is correct, reducing energy consumption is equal to decreasing duration. Experimental...
The problem of forming an FMICW signal for vertical-incidence single-antenna ionosonde based on the USRP platform using SDR technology was solved. We carried out studies aimed at getting a constant level of a received signal, unambiguous determining virtual reflection height in the required range as well as reducing interference and correlation noise during transmission and compression. The developed...
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