Lightweight Lexical Test Prioritization for Immediate Feedback

The purpose of this study is to find and analyze the effect of feedback on learning outcomes in mathematics and an interest in basic statistics course. The population in this study are affordable Information Technology Student cademic Year 2012/2013 Semester II Indraprasta PGRI University of South Jakarta. Sample The study sample was obtained through random sampling. This study used an experimental method to the analysis using the MANOVA test. This study has three variables, consisting of: one independent variable, namely the provision of feedback (immediate and delayed), and two dependent variable is the result of interest in the study of mathematics and basic statistics course. The data was collected for the test results to learn mathematics, and a questionnaire for the interest in basic statistics course. Collected data were analyzed using the MANOVA test. Before the data were analyzed, first performed descriptive statistical analysis and test data analysis requirements (test data normality and homogeneity of covariance matrices). The results show that the learning outcomes of interest in mathematics and basic statistics course for students who are given immediate feedback higher than students given feedback delayed.

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OrchardSim: An Apple Orchard Design Simulation Using a Multimedia Interactive Computer Program

HortTechnology ◽

10.21273/horttech.5.4.332 ◽

1995 ◽

Vol 5 (4) ◽

pp. 332-338

Author(s):

Schuyler S. Korban ◽

Cynthia A. St. Ores

Keyword(s):

Learning Process ◽

Active Role ◽

Apple Orchard ◽

Financial Loss ◽

Immediate Feedback ◽

Interactive Computer Program ◽

Full Color ◽

Specific Choice ◽

Computer Simulation Program ◽

Selection For

“OrchardSim: Design of an Apple Orchard” is a computer simulation program that was developed as a tool for students and new apple growers to understand the process involved in designing an efficient apple orchard. This program was developed on Toolbook software. It explores key elements involved in designing an apple orchard. Users are introduced to these elements and then asked to make selections for each of the following parameters: soil type, cultivar, rootstock, and management system. The goal of the program is to find compatible selections that will result in an appropriate design of a 1-acre orchard. This full-color program uses text, graphics animation, and still pictures to provide the following: introductory and review information about each parameter, opportunities for the user to make a selection for each parameter, and a check for choices made to determine compatibility. Users receive feedback for each specific choice made for each of the parameters throughout the program. This simulation presents an alternative instructional tool, whereby the user plays an active role in the learning process by practicing and reviewing information at one's own pace. OrchardSim provides users with immediate feedback and an excellent opportunity for making high-risk decisions, with no financial loss that otherwise would have been costly if the learning process were pursued in the real orchard.

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A Comparison of Two Sensory Panels Trained with Different Feedback Calibration Range Specifications via Sensory Description of Five Beers

Foods ◽

10.3390/foods8110534 ◽

2019 ◽

Vol 8 (11) ◽

pp. 534 ◽

Cited By ~ 1

Author(s):

Line Elgaard ◽

Line A. Mielby ◽

Helene Hopfer ◽

Derek V. Byrne

Keyword(s):

Average Distance ◽

Calibration Method ◽

The Self ◽

Use Of Self ◽

Fixed Target ◽

Immediate Feedback ◽

Leader Following ◽

Novel Method ◽

Standard Deviations ◽

Sensory Profiles

Feedback on panel performance is traditionally provided by the panel leader, following an evaluation session. However, a novel method for providing immediate feedback to panelists was proposed, the Feedback Calibration Method (FCM). The aim of the current study was to compare the performance of two panels trained by using FCM with two different approaches for ranges calibration, namely self-calibrated and fixed ranges. Both panels were trained using FCM for nine one-hour sessions, followed by a sensory evaluation of five beer samples (in replicates). Results showed no difference in sample positioning in the sensory space by the two panels. Furthermore, the panels’ discriminability was also similar, while the self-calibrated panel had the highest repeatability. The results from the average distance from target and standard deviations showed that the self-calibrated panel had the lowest distance from target and standard deviation throughout all sessions. However, the decrease in average distance from target and standard deviations over training sessions was similar among panels, meaning that the increase in performance was similar. The fact that both panels had a similar increase in performance and yielded similar sensory profiles indicates that the choice of target value calibration method is unimportant. However, the use of self-calibrated ranges could introduce an issue with the progression of the target scores over session, which is why the fixed target ranges should be applied, if available.

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Molecular testing in lung cancer: Fine-needle aspiration specimen adequacy and test prioritization prior to the CAP/IASLC/AMP Molecular Testing Guideline publication

Cancer Cytopathology ◽

10.1002/cncy.21426 ◽

2014 ◽

Vol 122 (6) ◽

pp. 454-458 ◽

Cited By ~ 20

Author(s):

Oana C. Rafael ◽

Mohamed Aziz ◽

Harry Raftopoulos ◽

Oana E. Vele ◽

Weisheng Xu ◽

...

Keyword(s):

Lung Cancer ◽

Fine Needle Aspiration ◽

Needle Aspiration ◽

Molecular Testing ◽

Fine Needle ◽

Test Prioritization

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Orthopedic screws insertion simulation with immediate feedback enhances surgical skill

Clinical Biomechanics ◽

10.1016/j.clinbiomech.2021.105367 ◽

2021 ◽

pp. 105367

Author(s):

Eran Keltz ◽

James Fletcher ◽

Alberto Jorge Mora ◽

Nirit Yavnai ◽

Boyko Gueorguiev-Rüegg ◽

...

Keyword(s):

Surgical Skill ◽

Immediate Feedback

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PRIORITIZATION OF COMBINATORIAL TEST CASES BY INCREMENTAL INTERACTION COVERAGE

International Journal of Software Engineering and Knowledge Engineering ◽

10.1142/s0218194013500459 ◽

2013 ◽

Vol 23 (10) ◽

pp. 1427-1457 ◽

Cited By ~ 11

Author(s):

RUBING HUANG ◽

XIAODONG XIE ◽

DAVE TOWEY ◽

TSONG YUEH CHEN ◽

YANSHENG LU ◽

...

Keyword(s):

Test Case ◽

Test Cases ◽

New Strategy ◽

Testing Cost ◽

Test Prioritization ◽

Interaction Testing ◽

Parameter Interactions ◽

Combinatorial Interaction Testing ◽

Alternative Assumption ◽

Better Than

Combinatorial interaction testing is a well-recognized testing method, and has been widely applied in practice, often with the assumption that all test cases in a combinatorial test suite have the same fault detection capability. However, when testing resources are limited, an alternative assumption may be that some test cases are more likely to reveal failure, thus making the order of executing the test cases critical. To improve testing cost-effectiveness, prioritization of combinatorial test cases is employed. The most popular approach is based on interaction coverage, which prioritizes combinatorial test cases by repeatedly choosing an unexecuted test case that covers the largest number of uncovered parameter value combinations of a given strength (level of interaction among parameters). However, this approach suffers from some drawbacks. Based on previous observations that the majority of faults in practical systems can usually be triggered with parameter interactions of small strengths, we propose a new strategy of prioritizing combinatorial test cases by incrementally adjusting the strength values. Experimental results show that our method performs better than the random prioritization technique and the technique of prioritizing combinatorial test suites according to test case generation order, and has better performance than the interaction-coverage-based test prioritization technique in most cases.

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Parallel Test Prioritization

ACM Transactions on Software Engineering and Methodology ◽

10.1145/3471906 ◽

2022 ◽

Vol 31 (1) ◽

pp. 1-50

Author(s):

Jianyi Zhou ◽

Junjie Chen ◽

Dan Hao

Keyword(s):

Extensive Study ◽

Good Choice ◽

Regression Testing ◽

Sequential Test ◽

Testing Time ◽

Parallel Test ◽

Parallel Testing ◽

Test Execution ◽

Coverage Criterion ◽

Test Prioritization

Although regression testing is important to guarantee the software quality in software evolution, it suffers from the widely known cost problem. To address this problem, existing researchers made dedicated efforts on test prioritization, which optimizes the execution order of tests to detect faults earlier; while practitioners in industry leveraged more computing resources to save the time cost of regression testing. By combining these two orthogonal solutions, in this article, we define the problem of parallel test prioritization, which is to conduct test prioritization in the scenario of parallel test execution to reduce the cost of regression testing. Different from traditional sequential test prioritization, parallel test prioritization aims at generating a set of test sequences, each of which is allocated in an individual computing resource and executed in parallel. In particular, we propose eight parallel test prioritization techniques by adapting the existing four sequential test prioritization techniques, by including and excluding testing time in prioritization. To investigate the performance of the eight parallel test prioritization techniques, we conducted an extensive study on 54 open-source projects and a case study on 16 commercial projects from Baidu , a famous search service provider with 600M monthly active users. According to the two studies, parallel test prioritization does improve the efficiency of regression testing, and cost-aware additional parallel test prioritization technique significantly outperforms the other techniques, indicating that this technique is a good choice for practical parallel testing. Besides, we also investigated the influence of two external factors, the number of computing resources and time allowed for parallel testing, and find that more computing resources indeed improve the performance of parallel test prioritization. In addition, we investigated the influence of two more factors, test granularity and coverage criterion, and find that parallel test prioritization can still accelerate regression testing in parallel scenario. Moreover, we investigated the benefit of parallel test prioritization on the regression testing process of continuous integration, considering both the cumulative acceleration performance and the overhead of prioritization techniques, and the results demonstrate the superiority of parallel test prioritization.

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The Role of Simulation in the Learning of Surgical Skills

Bulletin of The Royal College of Surgeons of England ◽

10.1308/147363513x13690603817940 ◽

2013 ◽

Vol 95 (9) ◽

pp. 292-295 ◽

Cited By ~ 5

Author(s):

Daniel Brown

Keyword(s):

Life Events ◽

Real Life ◽

Surgical Skills ◽

Immediate Feedback

Many authors have published theories regarding the learning of practical (surgical) skills. Table 1 contains a useful summary of these theories. Simulation has been defined by Allery et al as 'a structured activity designed to reflect reality, real life and real situations',1 and good simulation has been defined by Gorman et al as 'represent [ing] simplified reality, free from the need to include every possible detail'.2 when discussing simulation in education, issenberg, et al stated: 'Simulations are not identical to real-life events. Instead simulations place trainees into lifelike situations that provide immediate feedback about questions, decisions and actions.'3

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