TCM: test case mutation to improve crash detection in android

Yavuz Koroglu; Alper Sen

doi:10.1007/978-3-319-89363-1_15

TCM: test case mutation to improve crash detection in android

Yavuz Koroglu^*
, Alper Sen

^*Bu çalışma için yazışmadan sorumlu yazar

Bogazici University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

10 Atıf (Scopus)

Özet

GUI testing of mobile applications gradually became a very important topic in the last decade with the growing mobile application market. We propose Test Case Mutation (TCM) which mutates existing test cases to produce richer test cases. These mutated test cases detect crashes that are not previously detected by existing test cases. TCM differs from the well-known Mutation Testing (MT) where mutations are inserted in the source code of an Application Under Test (AUT) to measure the quality of test cases. Whereas in TCM, we modify existing test cases and obtain new ones to increase the number of detected crashes. Android applications take the largest portion of the mobile application market. Hence, we evaluate TCM on Android by replaying mutated test cases of randomly selected 100 AUTs from F-Droid benchmarks. We show that TCM is effective at detecting new crashes in a given time budget.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Fundamental Approaches to Software Engineering - 21st International Conference, FASE 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018, Proceedings
Editörler	Andy Schurr, Alessandra Russo
Yayınlayan	Springer Verlag
Sayfalar	264-280
Sayfa sayısı	17
ISBN (Basılı)	9783319893624
DOI'lar	https://doi.org/10.1007/978-3-319-89363-1_15
Yayın durumu	Yayınlandı - 2018
Harici olarak yayınlandı	Evet
Etkinlik	21st International Conference on Fundamental Approaches to Software Engineering, FASE 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018 - Thessaloniki, Greece Süre: 16 Nis 2018 → 20 Nis 2018

Yayın serisi

Adı	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hacim	10802 LNCS
ISSN (Basılı)	0302-9743
ISSN (Elektronik)	1611-3349

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	21st International Conference on Fundamental Approaches to Software Engineering, FASE 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018
Ülke/Bölge	Greece
Şehir	Thessaloniki
Periyot	16/04/18 → 20/04/18

Bibliyografik not

Publisher Copyright:
© The Author(s) 2018.

Belgeye Erişim

10.1007/978-3-319-89363-1_15

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Koroglu, Y., & Sen, A. (2018). TCM: test case mutation to improve crash detection in android. In A. Schurr, & A. Russo (Eds.), Fundamental Approaches to Software Engineering - 21st International Conference, FASE 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018, Proceedings (pp. 264-280). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Hac. 10802 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-89363-1_15

Koroglu, Yavuz ; Sen, Alper. / TCM : test case mutation to improve crash detection in android. Fundamental Approaches to Software Engineering - 21st International Conference, FASE 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018, Proceedings. editör / Andy Schurr ; Alessandra Russo. Springer Verlag, 2018. pp. 264-280 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "TCM: test case mutation to improve crash detection in android",

abstract = "GUI testing of mobile applications gradually became a very important topic in the last decade with the growing mobile application market. We propose Test Case Mutation (TCM) which mutates existing test cases to produce richer test cases. These mutated test cases detect crashes that are not previously detected by existing test cases. TCM differs from the well-known Mutation Testing (MT) where mutations are inserted in the source code of an Application Under Test (AUT) to measure the quality of test cases. Whereas in TCM, we modify existing test cases and obtain new ones to increase the number of detected crashes. Android applications take the largest portion of the mobile application market. Hence, we evaluate TCM on Android by replaying mutated test cases of randomly selected 100 AUTs from F-Droid benchmarks. We show that TCM is effective at detecting new crashes in a given time budget.",

author = "Yavuz Koroglu and Alper Sen",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2018.; 21st International Conference on Fundamental Approaches to Software Engineering, FASE 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018 ; Conference date: 16-04-2018 Through 20-04-2018",

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Koroglu, Y & Sen, A 2018, TCM: test case mutation to improve crash detection in android. in A Schurr & A Russo (eds), Fundamental Approaches to Software Engineering - 21st International Conference, FASE 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), hac. 10802 LNCS, Springer Verlag, pp. 264-280, 21st International Conference on Fundamental Approaches to Software Engineering, FASE 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018, Thessaloniki, Greece, 16/04/18. https://doi.org/10.1007/978-3-319-89363-1_15

TCM: test case mutation to improve crash detection in android. / Koroglu, Yavuz; Sen, Alper.
Fundamental Approaches to Software Engineering - 21st International Conference, FASE 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018, Proceedings. ed. / Andy Schurr; Alessandra Russo. Springer Verlag, 2018. p. 264-280 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Hac. 10802 LNCS).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

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T2 - 21st International Conference on Fundamental Approaches to Software Engineering, FASE 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018

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N2 - GUI testing of mobile applications gradually became a very important topic in the last decade with the growing mobile application market. We propose Test Case Mutation (TCM) which mutates existing test cases to produce richer test cases. These mutated test cases detect crashes that are not previously detected by existing test cases. TCM differs from the well-known Mutation Testing (MT) where mutations are inserted in the source code of an Application Under Test (AUT) to measure the quality of test cases. Whereas in TCM, we modify existing test cases and obtain new ones to increase the number of detected crashes. Android applications take the largest portion of the mobile application market. Hence, we evaluate TCM on Android by replaying mutated test cases of randomly selected 100 AUTs from F-Droid benchmarks. We show that TCM is effective at detecting new crashes in a given time budget.

AB - GUI testing of mobile applications gradually became a very important topic in the last decade with the growing mobile application market. We propose Test Case Mutation (TCM) which mutates existing test cases to produce richer test cases. These mutated test cases detect crashes that are not previously detected by existing test cases. TCM differs from the well-known Mutation Testing (MT) where mutations are inserted in the source code of an Application Under Test (AUT) to measure the quality of test cases. Whereas in TCM, we modify existing test cases and obtain new ones to increase the number of detected crashes. Android applications take the largest portion of the mobile application market. Hence, we evaluate TCM on Android by replaying mutated test cases of randomly selected 100 AUTs from F-Droid benchmarks. We show that TCM is effective at detecting new crashes in a given time budget.

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Koroglu Y, Sen A. TCM: test case mutation to improve crash detection in android. In Schurr A, Russo A, editörler, Fundamental Approaches to Software Engineering - 21st International Conference, FASE 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018, Proceedings. Springer Verlag. 2018. p. 264-280. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-89363-1_15

TCM: test case mutation to improve crash detection in android

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