Dynamic Prioritization in Regression Testing

Kaushik, Nilam; Salehie, Mazeiar; Tahvildari, Ladan; Li, Sen; Moore, Mark

doi:10.1109/icstw.2011.68

Cited by 11 publications

(6 citation statements)

References 13 publications

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“…Many researchers [8][9][10][11] have proposed different mechanisms for test case prioritization using model based approach. Khandai et al [3] proposed an approach for prioritizing the test cases according to Business Criticality Test Value (BCTV) of the test cases.…”

Section: Related Workmentioning

confidence: 99%

Model Based Test Case Prioritization Using Association Rule Mining

Acharya

Mahali

Mohapatra

2014

Computational Intelligence in Data Mining - Volume 3

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Regression testing has gained importance due to increase in frequency of change requests made for software during maintenance phase. The retesting criteria of regression testing leads to increasing cost and time. Prioritization is an important procedure during regression testing which makes the debugging easier. This paper discusses a novel approach for test case prioritization using Association Rule Mining (ARM). In this paper, the system under test is modelled using UML Activity Diagram (AD) which is further converted into an Activity Graph (AG). A historical data store is maintained to keep details about the system which revealing more number of faults. Whenever a change is made in the system, the frequent patterns of highly affected nodes are found out. These frequent patterns reveal the probable affected nodes i.e. used to prioritize the test cases. This approach effectively prioritizes the test cases with a higher Average Percentage of Fault Detection (APFD) value.

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Section: Related Workmentioning

confidence: 99%

Model Based Test Case Prioritization Using Association Rule Mining

Acharya

Mahali

Mohapatra

2014

Computational Intelligence in Data Mining - Volume 3

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“…Dynamic prioritization is an approach which involves the changing order of test cases during the software testing phase [17]. It presents a framework for mitigating the challenges in dynamic industrial code changing.…”

Section: Literature Reviewmentioning

confidence: 99%

RDCC: An effective test case prioritization framework using software requirements, design and source code collaboration

Siddik

Sakib

2014

2014 17th International Conference on Computer and Information Technology (ICCIT)

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Test case prioritization is a technique for selecting those test cases, which are expected to outperform for determining faulty modules earlier. Different phases of software development lifecycle represent the total software from different point of views, where priority module may vary from phase to phase. However, information from different phases of software development lifecycle is rarely introduced and no one integrates that information to prioritize test cases. This paper presents an effective test case prioritization framework, which takes software requirements specification, design diagrams, source codes and test cases as input and provides a prioritized order of test cases using their collaborative information as output. Requirement IDs are split into words or terms excluding stop words to calculate requirements relativity. Design diagrams are extracted as readable XML format to calculate the degree of interconnectivity among the activities. Source codes are parsed as call graphs where vertices and edges represent classes, and calls between two classes respectively. Requirements relativity, design interconnectivity and class dependencies are multiplied by their assigned weight to calculate final weight and select test cases by mapping the customers' requirements and test cases using that weight. The proposed framework is validated with an academic project and the results show that use of collaborative information during prioritization process can be beneficial.

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“…TCP techniques face a unique challenge because they need to be executed in a manner that can dynamically modify at run-time based on the changes in the factors that drive TCP [8][9][10] [11]. Kaushik et al defined situations as events and proposed a paradigm called Dynamic Prioritization, which uses in-process events and the most up-to-date test suite to re-oreder test cases [12]. The factors that affect TCP are dynamically changed based on situations.…”

Section: Dynamic Test Case Prioritization For Embedded Product Solutionsmentioning

confidence: 99%

Self-adaptive testing to determine sample size for flash memory solutions

Byun¹,

Jeon²,

Lee³

et al. 2014

KSII TIIS

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Embedded system testing, especially long-term reliability testing, of flash memory solutions such as embedded multi-media card, secure digital card and solid-state drive involves strategic decision making related to test sample size to achieve high test coverage. The test sample size is the number of flash memory devices used in a test. Earlier, there were physical limitations on the testing period and the number of test devices that could be used. Hence, decisions regarding the sample size depended on the experience of human testers owing to the absence of well-defined standards. Moreover, a lack of understanding of the importance of the sample size resulted in field defects due to unexpected user scenarios. In worst cases, users finally detected these defects after several years. In this paper, we propose that a large number of potential field defects can be detected if an adequately large test sample size is used to target weak features during long-term reliability testing of flash memory solutions. In general, a larger test sample size yields better results. However, owing to the limited availability of physical resources, there is a limit on the test sample size that can be used. In this paper, we address this problem by proposing a self-adaptive reliability testing scheme to decide the sample size for effective long-term reliability testing.

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Dynamic Prioritization in Regression Testing

Cited by 11 publications

References 13 publications

Model Based Test Case Prioritization Using Association Rule Mining

Model Based Test Case Prioritization Using Association Rule Mining

RDCC: An effective test case prioritization framework using software requirements, design and source code collaboration

Self-adaptive testing to determine sample size for flash memory solutions

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