scholarly journals Effect of time-pressure on perceived and actual performance in functional software testing

2018 ◽  
Author(s):  
Iflaah Salman ◽  
Burak Turhan
Keyword(s):  
Software Testing ◽  
Time Pressure ◽  
Actual Performance ◽  
Functional Software

Functional Software Testing for Web Applications in the Context of Industry

2018 ◽  
Vol 15 (11) ◽  
pp. 3398-3404 ◽  
Author(s):  
M Niranjanamurthy ◽  
Sushanth Navale ◽  
S Jagannatha ◽  
Sudesha Chakraborty
Keyword(s):  
Software Testing ◽  
Web Applications ◽  
Functional Software

Framework for Reusable Test Case Generation in Software Systems Testing

2020 ◽  
pp. 212-229
Author(s):  
Kamalendu Pal
Keyword(s):  
Software Development ◽  
Software Testing ◽  
Software Test ◽  
Test Case Generation ◽  
Software Systems ◽  
Test Case ◽  
Case Based Reasoning ◽  
Test Cases ◽  
Development Teams ◽  
Functional Software

Agile methodologies have become the preferred choice for modern software development. These methods focus on iterative and incremental development, where both requirements and solutions develop through collaboration among cross-functional software development teams. The success of a software system is based on the quality result of each stage of development with proper test practice. A software test ontology should represent the required software test knowledge in the context of the software tester. Reusing test cases is an effective way to improve the testing of software. The workload of a software tester for test-case generation can be improved, previous software testing experience can be shared, and test efficiency can be increased by automating software testing. In this chapter, the authors introduce a software testing framework (STF) that uses rule-based reasoning (RBR), case-based reasoning (CBR), and ontology-based semantic similarity assessment to retrieve the test cases from the case library. Finally, experimental results are used to illustrate some of the features of the framework.

Framework for Reusable Test Case Generation in Software Systems Testing

2022 ◽  
pp. 1090-1108
Author(s):  
Kamalendu Pal
Keyword(s):  
Software Development ◽  
Software Testing ◽  
Software Test ◽  
Test Case Generation ◽  
Software Systems ◽  
Test Case ◽  
Case Based Reasoning ◽  
Test Cases ◽  
Development Teams ◽  
Functional Software

Agile methodologies have become the preferred choice for modern software development. These methods focus on iterative and incremental development, where both requirements and solutions develop through collaboration among cross-functional software development teams. The success of a software system is based on the quality result of each stage of development with proper test practice. A software test ontology should represent the required software test knowledge in the context of the software tester. Reusing test cases is an effective way to improve the testing of software. The workload of a software tester for test-case generation can be improved, previous software testing experience can be shared, and test efficiency can be increased by automating software testing. In this chapter, the authors introduce a software testing framework (STF) that uses rule-based reasoning (RBR), case-based reasoning (CBR), and ontology-based semantic similarity assessment to retrieve the test cases from the case library. Finally, experimental results are used to illustrate some of the features of the framework.

Model-Based Software Testing and Analysis with C#

2007 ◽  
Author(s):  
Jonathan Jacky ◽  
Margus Veanes ◽  
Colin Campbell ◽  
Wolfram Schulte
Keyword(s):  
Software Testing ◽  
Model Based

Deciding the Adequacy of a Set of Tests for an Specific Assessment Situation. Decision-making Strategies

1996 ◽  
Vol 12 (1) ◽  
pp. 14-22
Author(s):  
R. Esteve ◽  
A. Godoy
Keyword(s):  
Decision Making ◽  
Time Pressure ◽  
Response Mode ◽  
Information Load ◽  
Variable Pattern ◽  
Mode Effects ◽  
Moderator Effects ◽  
Specific Assessment ◽  
Information Board ◽  
Decision Importance

The aim of the present paper was to test the effects of response mode (choice vs. judgment) on decision-making strategies when subjects were faced with the task of deciding the adequacy of a set of tests for a specific assessment situation. Compared with choice, judgment was predicted to lead to more information sought, more time spent on the task, a less variable pattern of search, and a greater amount of interdimensional search. Three variables hypothesized as potential moderators of the response mode effects are also studied: time pressure, information load and decision importance. Using an information board, 300 subjects made decisions (choices and judgments) on tests for a concrete assessment situation, under high or low time pressure, high or low information load, and high or low decision importance. Response mode produced strong effects on all measures of decision behavior except for pattern of search. Moderator effects occurred for time pressure and information load.

Speeded Paper-Pencil Sustained Attention and Mental Speed Tests

2008 ◽  
Vol 29 (4) ◽  
pp. 205-216 ◽  
Author(s):  
Stefan Krumm ◽  
Lothar Schmidt-Atzert ◽  
Kurt Michalczyk ◽  
Vanessa Danthiir
Keyword(s):  
Sustained Attention ◽  
Time Pressure ◽  
Factor Model ◽  
Higher Order ◽  
Future Research ◽  
Perceptual Speed ◽  
Speed Factor ◽  
Close Relationship ◽  
Task Processing ◽  
Order Factor

Mental speed (MS) and sustained attention (SA) are theoretically distinct constructs. However, tests of MS are very similar to SA tests that use time pressure as an impeding condition. The performance in such tasks largely relies on the participants’ speed of task processing (i.e., how quickly and correctly one can perform the simple cognitive tasks). The present study examined whether SA and MS are empirically the same or different constructs. To this end, 24 paper-pencil and computerized tests were administered to 199 students. SA turned out to be highly related to MS task classes: substitution and perceptual speed. Furthermore, SA showed a very close relationship with the paper-pencil MS factor. The correlation between SA and computerized speed was considerably lower but still high. In a higher-order general speed factor model, SA had the highest loading on the higher-order factor; the higher-order factor explained 88% of SA variance. It is argued that SA (as operationalized with tests using time pressure as an impeding condition) and MS cannot be differentiated, at the level of broad constructs. Implications for neuropsychological assessment and future research are discussed.

Sign in / Sign up

Export Citation Format

Share Document