A Study of Uncertainty in Software Cost and Its Impact on Optimal Software Release Time

Yang, Bo; Hu, Huajun; Jia, Lixin

doi:10.1109/tse.2008.47

Cited by 52 publications

(43 citation statements)

References 33 publications

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“…However it is well known that it is costly (Yang et al, 2008;Bertolino, 2008). Thus, there has always been a need to increase the efficiency of testing while, in parallel, making it more effective in terms of finding defects.…”

Section: Introductionmentioning

confidence: 99%

An experiment on the effectiveness and efficiency of exploratory testing

et al. 2014

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The exploratory testing (ET) approach is commonly applied in industry, but lacks scientific research. The scientific community needs quantitative results on the performance of ET taken from realistic experimental settings. The objective of this paper is to quantify the effectiveness and efficiency of ET vs. testing with documented test cases (test case based testing, TCT). We performed four controlled experiments where a total of 24 practitioners and 46 students performed manual functional testing using ET and TCT. We measured the number of identified defects in the 90-minute testing sessions of testing, the detection difficulty, severity and types of the detected defects, and the number of false defect reports. The results show that ET found a significantly greater number of defects. ET also found significantly more defects of varying levels of difficulty, types and severity levels. The two testing approaches, however, did not differ significantly in terms of the number of false defect reports submitted. We conclude that ET was more efficient than TCT in our experiment. ET was also more effective than TCT when detection difficulty, type of defects and severity levels are considered. However, the two approaches are comparable when it comes to the number of false defect reports submitted.

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Section: Introductionmentioning

confidence: 99%

An experiment on the effectiveness and efficiency of exploratory testing

et al. 2014

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“…This clearly indicates that there is a shortage of methods to handle uncertainty. Among the existing research related to this topic, Yang et al [18] studied the impact of uncertainty on software release time. However, their focus is solely on variability of actual cost whereas our focus is on task effort, developer productivity, unforeseen late request of features, and developer unavailability.…”

Section: Related Workmentioning

confidence: 99%

Studying the impact of uncertainty in operational release planning – An integrated method and its initial evaluation

Al‐Emran

Kapur²,

Pfahl

et al. 2010

Information and Software Technology

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“…Before time t 1 the RG is idle, illustrated by a dotted line. The fault correction activity takes T 1 units of time and the first fault is corrected at time s 1 . At this time, the software is updated and passed back to the TG for further testing, and the RG is waiting for the arrival of the next test record.…”

Section: An Illustrative Examplementioning

confidence: 99%

“…During the past decades, many software reliability models (SRMs) have been proposed, which are useful to management in related decision-makings such as software release time determination, e.g., [1]. Nevertheless, many SRMs are based on some unrealistic assumptions.…”

Section: Introductionmentioning

confidence: 99%

Software Reliability Modeling Considering Fault Correction Process

Jia

Yang

Guo

et al. 2010

IEICE Trans. Inf. & Syst.

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SUMMARYMany existing software reliability models (SRMs) are based on the assumption that fault correction activities take a negligible amount of time and resources, which is often invalid in real-life situations. Consequently, the estimated and predicted software reliability tends to be over-optimistic, which could in turn mislead management in related decision-makings. In this paper, we first make an in-depth analysis of reallife software testing process; then a Markovian SRM considering fault correction process is proposed. Parameter estimation method and software reliability prediction method are established. A numerical example is given which shows that by using the proposed model and methods, the results obtained tend to be more appropriate and realistic.

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A Study of Uncertainty in Software Cost and Its Impact on Optimal Software Release Time

Cited by 52 publications

References 33 publications

An experiment on the effectiveness and efficiency of exploratory testing

An experiment on the effectiveness and efficiency of exploratory testing

Studying the impact of uncertainty in operational release planning – An integrated method and its initial evaluation

Software Reliability Modeling Considering Fault Correction Process

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