Strengthening Basic Electrical Competence Using Simulator Software

The purpose of this study is to enable students' learning outcomes in the subjects of electronic fundamentals by using simulation software. The type of research conducted is class action research conducted in several cycles and stages including, Pretest, treatment and Post test. The subjects of this study were electrical engineering students with a total of 36 students. This is the predictor of success in this study when in the classroom 85% or more of the number of students obtained an average score of 75. Based on the research obtained pre test results 30.5% above average value of 75%. after several cycle treatment and post test results get a score of 82.9 % students who get a score above KKM 75. With the graduation result of students above KKM grades increased from the initial 30.5% to 82.9%, there was a 54% increase in student grades above KKM. With this analysis, researchers proved that software simulator media used can increase the interest in learning theory of learning and learning outcomes of students in class XII TITL 3 at SMK N 2 Surabaya

Analisis Rangkaian Pembagi Tegangan dan Perbandingan Hasil Simulasinya Menggunakan Simulator Offline

This paper reveals the voltage divider circuit to better understand the fundamental working principles in detail. The approach was simulated using popular offline simulators (i.e., Pr, CW circuit, and virtual mode, EWB, Mu, P, Ye, TS, QUCS, LTS, SI, and PhET). Two scenarios were carried out: measuring the output voltage (Vout) with known R1, R2, and DC source (Battery) as a voltage input (Vin), then looking for R1 and R2 using four different calculation methods to obtain Vout as expected. Afterward, the value of R1 and R2 were inserted into the simulation circuit to guarantee if the current Vout value matched the initial Vout. Finally, the simulation results were compared with the calculation results. All simulators provide an attractive GUI, capable of simulating voltage measurements with 100% accuracy in terms of DC analyses, which is DC voltage (except the CW software, which is only 98%), and can be entered in any resistor value (except Ye and PhET software). Surprisingly, the results of this study can provide insight for beginners to understand essential topics in electrical engineering studies, e.g., the circuit topology, fundamental theory, and working principle of a voltage divider circuit. Besides, the student will understand an offline electronic-based simulator suitable for measuring voltage parameters. Furthermore, they are expected to apply this circuit to various electronic circuit cases

Test Set Diameter: Quantifying the Diversity of Sets of Test Cases

A common and natural intuition among software testers is that test cases need to differ if a software system is to be tested properly and its quality ensured. Consequently, much research has gone into formulating distance measures for how test cases, their inputs and/or their outputs differ. However, common to these proposals is that they are data type specific and/or calculate the diversity only between pairs of test inputs, traces or outputs. We propose a new metric to measure the diversity of sets of tests: the test set diameter (TSDm). It extends our earlier, pairwise test diversity metrics based on recent advances in information theory regarding the calculation of the normalized compression distance (NCD) for multisets. An advantage is that TSDm can be applied regardless of data type and on any test-related information, not only the test inputs. A downside is the increased computational time compared to competing approaches. Our experiments on four different systems show that the test set diameter can help select test sets with higher structural and fault coverage than random selection even when only applied to test inputs. This can enable early test design and selection, prior to even having a software system to test, and complement other types of test automation and analysis. We argue that this quantification of test set diversity creates a number of opportunities to better understand software quality and provides practical ways to increase it.Comment: In submissio

Misaligned Values in Software Engineering Organizations

The values of software organizations are crucial for achieving high performance; in particular, agile development approaches emphasize their importance. Researchers have thus far often assumed that a specific set of values, compatible with the development methodologies, must be adopted homogeneously throughout the company. It is not clear, however, to what extent such assumptions are accurate. Preliminary findings have highlighted the misalignment of values between groups as a source of problems when engineers discuss their challenges. Therefore, in this study, we examine how discrepancies in values between groups affect software companies' performance. To meet our objectives, we chose a mixed method research design. First, we collected qualitative data by interviewing fourteen (\textit{N} = 14) employees working in four different organizations and processed it using thematic analysis. We then surveyed seven organizations (\textit{N} = 184). Our analysis indicated that value misalignment between groups is related to organizational performance. The aligned companies were more effective, more satisfied, had higher trust, and fewer conflicts. Our efforts provide encouraging findings in a critical software engineering research area. They can help to explain why some companies are more efficient than others and, thus, point the way to interventions to address organizational challenges.Comment: accepted for publication in Journal of Software: Evolution and Proces

Naming the Pain in Requirements Engineering: A Design for a Global Family of Surveys and First Results from Germany

For many years, we have observed industry struggling in defining a high quality requirements engineering (RE) and researchers trying to understand industrial expectations and problems. Although we are investigating the discipline with a plethora of empirical studies, they still do not allow for empirical generalisations. To lay an empirical and externally valid foundation about the state of the practice in RE, we aim at a series of open and reproducible surveys that allow us to steer future research in a problem-driven manner. We designed a globally distributed family of surveys in joint collaborations with different researchers and completed the first run in Germany. The instrument is based on a theory in the form of a set of hypotheses inferred from our experiences and available studies. We test each hypothesis in our theory and identify further candidates to extend the theory by correlation and Grounded Theory analysis. In this article, we report on the design of the family of surveys, its underlying theory, and the full results obtained from Germany with participants from 58 companies. The results reveal, for example, a tendency to improve RE via internally defined qualitative methods rather than relying on normative approaches like CMMI. We also discovered various RE problems that are statistically significant in practice. For instance, we could corroborate communication flaws or moving targets as problems in practice. Our results are not yet fully representative but already give first insights into current practices and problems in RE, and they allow us to draw lessons learnt for future replications. Our results obtained from this first run in Germany make us confident that the survey design and instrument are well-suited to be replicated and, thereby, to create a generalisable empirical basis of RE in practice

Evaluation Criteria for Object-oriented Metrics

In this paper an evaluation model for object-oriented (OO) metrics is proposed. We have evaluated the existing evaluation criteria for OO metrics, and based on the observations, a model is proposed which tries to cover most of the features for the evaluation of OO metrics. The model is validated by applying it to existing OO metrics. In contrast to the other existing criteria, the proposed model is simple in implementation and includes the practical and important aspects of evaluation; hence it suitable to evaluate and validate any OO complexity metric