Integration testing through reusing representative unit test cases for high-confidence medical software

Shin, Youngsul; Choi, Yunja; Lee, Woojin

doi:10.1016/j.compbiomed.2013.01.024

Cited by 11 publications

(6 citation statements)

References 34 publications

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“…Approaches that compose integration tests from unit tests and some software modules [24], [29], [31], [32] address a different angle of the problem than ASSIST -the latter concentrate on producing effective integration tests efficiently, while it is unclear how the former approach addresses a problem of reducing the large number of combinations of unit tests into integration tests.…”

Section: Related Workmentioning

confidence: 99%

Generating Integration Tests Automatically Using Frequent Patterns of Method Execution Sequences

Grechanik

Devanla

2019

International Conferences on Software Engineering and Knowledge Engineering

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Integration testing is vitally important for ensuring software quality, since many serious software defects are not isolated in single components. Unfortunately, creating integration tests is often a manual and laborious effort. A fundamental problem of software testing is how to automatically create effective integration tests with oracles that find bugs efficiently.We created a novel approach for Automatically SyntheSizing Integration Software Tests (ASSIST) that automatically obtains models that describe frequently interacting components in software applications, thus reducing the number of synthesized integration tests and increasing their bug-finding power. In ASSIST, static and dynamic analyses are used along with carving runtime states to obtain test input data as well as oracles for the synthesized integration tests. We experimented with three Java applications and show that integration tests that are synthesized using ASSIST have comparable bug finding power with manually created integration tests.

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Section: Related Workmentioning

confidence: 99%

Generating Integration Tests Automatically Using Frequent Patterns of Method Execution Sequences

Grechanik

Devanla

2019

International Conferences on Software Engineering and Knowledge Engineering

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“…Z kolei programiści z wielu firm przedstawiają wykorzystanie napisanych testów jednostkowych jako testów regresyjnych, które w krótkim czasie są w stanie potwierdzić działanie całego produktu [9]. Natomiast koreańscy naukowcy przedstawiają mo liwość wykorzystania istniejących testów jednostkowych do wygenerowania testów integracyjnych, jako bazę scenariuszy testowych [10]. Odnosząc się do znanej mantry "red-green-refactor" [7] z metodyki TDD, mo na do niej przypisać odpowiednie kroki schematu:…”

Section: Znaczenie Testów Jednostkowychunclassified

Metody prowadzenia testów jednostkowych w standardzie C++14 z wykorzystaniem biblioteki GMOCK

Strózik

2019

jcsi

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“…According to [10], [11], testing accounts for more than 50% of the cost of software development. In software testing, two methodologies are often used: black box and white box [12]. The former is concerned with testing the functionality of the software under test without knowledge of the structure or implementation specifics.…”

Section: Introductionmentioning

confidence: 99%

Object-Oriented Test Case Generation Using Teaching Learning-Based Optimization (TLBO) Algorithm

Al-Masri

Al-Sorori

2022

IEEE Access

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Researchers are currently seeking effective methods for automated software testing to reduce time, avoid test case redundancy, and create comprehensive test cases to cover (paths, benches, conditions, and statements). Generating a minimum number of test cases and covering all code paths is challenging in automated test case generation. Therefore, the use of optimization algorithms has become a popular trend for generating test cases to achieve many goals. In this study, we used a teaching-learning-based optimization algorithm to generate the minimum number of test cases. We compared our results with those of other state-of-the-art methods based on the path coverage for ten Java programs. The motive for using this algorithm is to optimize the number of test cases that cover all code paths in the unit test. The results emphasize that the proposed algorithm generates the minimum number of test cases and covers all paths in the code at a full-coverage rate.INDEX TERMS Test suite generation, unit testing, object-oriented test case generation, coverage-based optimization.

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Integration testing through reusing representative unit test cases for high-confidence medical software

Cited by 11 publications

References 34 publications

Generating Integration Tests Automatically Using Frequent Patterns of Method Execution Sequences

Generating Integration Tests Automatically Using Frequent Patterns of Method Execution Sequences

Metody prowadzenia testów jednostkowych w standardzie C++14 z wykorzystaniem biblioteki GMOCK

Object-Oriented Test Case Generation Using Teaching Learning-Based Optimization (TLBO) Algorithm

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