scholarly journals Code Coverage Visualization on Web-Based Testing Tool for Java Programs

2015 ◽  
Vol 2 (2) ◽  
pp. 89
Author(s):  
Mochamad Chandra Saputra ◽  
Tetsuro Katayama
2013 ◽  
Vol 296 ◽  
pp. 253-259 ◽  
Author(s):  
Kari Kähkönen ◽  
Olli Saarikivi ◽  
Keijo Heljanko

2012 ◽  
Vol 201-202 ◽  
pp. 242-245
Author(s):  
Xiao Li Ji ◽  
Xiao Song Zhang ◽  
Ting Chen ◽  
Xiao Shan Li ◽  
Lei Jiang

Dynamic symbolic execution is a promising approach for software analyzing and testing. However, it fails to scale to large programs due to the exponential number of paths to be explored. This paper focus on tackling loop caused path explosion problems and proposes a new approach to reduce paths that produce the same effects. We present a loop transparency strategy that makes use of the decision graph of under test program to discard constraints that produce paths with only a different number of iterations. A dynamic software testing tool LTDse based on loop transparency is designed and evaluated on three benchmarks. The experimental results show that our approach is effective since it can achieve better code coverage or require fewer program executions than traditional strategies.


2020 ◽  
Author(s):  
Naim Panjwani ◽  
Fan Wang ◽  
Cheng Wang ◽  
Gengming He ◽  
Scott Mastromatteo ◽  
...  

AbstractGenome-wide association studies (GWAS) have primarily identified trait-associated loci in the non-coding genome. Colocalization analyses of SNP-level associations from GWAS with expression quantitative trait loci (eQTL) evidence enable the generation of hypotheses about responsible mechanism, genes and tissues of origin to guide functional characterization. Here, we present a web-based colocalization browsing and testing tool named LocusFocus (https://locusfocus.research.sickkids.ca). LocusFocus formally tests colocalization using our established Simple Sum method to identify the most relevant genes and tissues for a particular GWAS locus in the presence of high linkage disequilibrium and/or allelic heterogeneity. Full documentation and source code for LocusFocus are publicly available.


2014 ◽  
Vol 1049-1050 ◽  
pp. 2069-2072
Author(s):  
Yan Yun Liu ◽  
Bin Hu ◽  
Li Ping Rao ◽  
Lin Pan

Traditionally, at the end of functional testing, testers resort to the numbers of problems reported and the test cases executed to evaluate the adequacy of the testing. This method generally results in that testers have no confidence in the test results. Therefore, we introduce coverage to settle this problem. EMMA is an open source testing tool which detects and reports Java code coverage. In this paper, two actual functional testing as examples to explain the processes of using EMMA command line and EMMA with Ant to obtain code coverage, further to explain how to increase test cases to accumulate code coverage based on EMMA. The final code coverage analysis reports testify that using EMMA can greatly ensure the integrity of the functional testing.


2021 ◽  
Vol 6 (1) ◽  
pp. 1-6
Author(s):  
Ida Bagus Kerthyayana Manuaba

Access to the internet and the advanced of technology allow people to experience in playing a game, not limited to their game console or through a PC, but also through their gadget like mobile-phones. Based on our initial study, a text-based game prototype has shown its potentiality as an alternative media to enhance youth literacy. The prototype has been developed in web-based platform that allow users to play this game through their mobile-phone. This paper describes an extend study to explore on how well the performance of text- based game prototype, when it was run online through a mobile device. For this purpose, a testing tool, named “GTmetrix” is used to review the performance of mobile device that run two different text-based game prototype platforms, which are Quest and Ink Platforms. For further comparison, this paper also included additional test scenario to see the performance of these two prototype platforms through a desktop device. These testing was conducted through different mobile network speeds (2G/3G/4G). Two different test approaches, PageSpeed and YSlow, were used to analyze the performance. Based on the results, it can be concluded that both prototype platforms are still compatible to be played through mobile devices, with Ink platform perform slightly better compare to the Quest platform in several test setting.


Author(s):  
Mohammed Akour ◽  
Mamdouh Alenezi

<span>Test suite code coverage is usually used to indicate the capability of a test suite in detecting faults. Earlier research studies, which explored the relationship among test suite effectiveness and code coverage, have not addressed this relationship evolutionally. Moreover, some of these works were studied small or identical domain systems, which make the result generalization process unclear for other systems. Finally, some of these studies were conducted with automatically generated test suites, which might not present the real situation for studied systems, so the results cannot be generalized to real test suites. In this paper, the authors empirically explore three open-source software systems along with their 11 versions. These versions are evolved over time and might have more sources of code and test suites. This work objective is to study the correlation between test suite effectiveness, the size of the test suite, and coverage for three Java programs during their evolution. In this work, the code coverage, test suite LOC and mutation testing coverage are measured to assess the correlation between the effectiveness of fault detection, code coverage, and test suite size. Based on the result we cannot generalize the assumption that test size is always revealing a positive correlation with its effectiveness, but still weak to the high correlation between test effectiveness, test size, and coverage.</span><p> </p>


1998 ◽  
Vol 62 (9) ◽  
pp. 671-674
Author(s):  
JF Chaves ◽  
JA Chaves ◽  
MS Lantz
Keyword(s):  

2013 ◽  
Vol 23 (3) ◽  
pp. 82-87 ◽  
Author(s):  
Eva van Leer

Mobile tools are increasingly available to help individuals monitor their progress toward health behavior goals. Commonly known commercial products for health and fitness self-monitoring include wearable devices such as the Fitbit© and Nike + Pedometer© that work independently or in conjunction with mobile platforms (e.g., smartphones, media players) as well as web-based interfaces. These tools track and graph exercise behavior, provide motivational messages, offer health-related information, and allow users to share their accomplishments via social media. Approximately 2 million software programs or “apps” have been designed for mobile platforms (Pure Oxygen Mobile, 2013), many of which are health-related. The development of mobile health devices and applications is advancing so quickly that the Food and Drug Administration issued a Guidance statement with the purpose of defining mobile medical applications and describing a tailored approach to their regulation.


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