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A Method For Selectıng Regressıon Test Cases Based On Software Changes And Software Faults

dc.contributor.advisorTarhan, Ayça
dc.contributor.authorYılmaz, Uğur
dc.date.accessioned2019-04-12T08:36:03Z
dc.date.issued2019
dc.date.submitted2019-01-31
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dc.identifier.urihttp://hdl.handle.net/11655/6555
dc.description.abstractRegression testing is the type of testing in which a modified software is validated to ensure its functionality is not broken. With the increase of modern, agile and large size software systems, regression test selection needs to be efficient, effective and practical to coexist within the software development cycle. To this need, a modern hybrid technique for regression test selection is proposed in this thesis. A detailed literature analysis and a conceptual model are presented in order to better visualize and identify the target concepts of the field. We introduce a technique operating on different granularity levels using difference based techniques of files for both class files and third-party text files. Our technique uses lexical comparison methods for readable files and checksum comparison for any binary files with file or method level granularity. A tunable similarity threshold is offered to users to be used in fulfilling different performance needs. Any available test or fault history data is also used to increase the effectiveness of the proposed technique. We provide an extensive evaluation study in the form of embedded, multiple case study of the proposed technique with other state-of-the-art techniques with respect to performance and cost-efficiency using different open source projects. The results showed that the proposed approach is effective as other state-of-the-art techniques and selects fewer tests while keeping the fault detection rate at a high level.tr_TR
dc.description.tableofcontentsTABLE OF CONTENTS ABSTRACT i ÖZET iii ACKNOWLEDGEMENT v TABLE OF CONTENTS vi LIST OF FIGURES ix LIST OF TABLES x 1. INTRODUCTION 1 2. BACKGROUND 4 2.1. Basic Concepts 4 2.2. Regression Testing Strategies 7 2.3. Regression Test Selection 9 2.3.1. Slicing Approach 11 2.3.2. Data-Flow Approach 11 2.3.3. Firewall Approach 12 2.3.4. Difference Based Approaches 13 2.3.4.1. Code Based Modification Approaches 13 2.3.4.2. Text Based Modification Approaches 14 2.3.5. Cluster Based Approaches 14 2.3.6. Model Based Approaches 14 2.3.7. Graph Walk Approaches 17 2.3.8. Learning Based Approaches 19 2.3.9. Fault Based Approaches 21 2.3.10. Hybrid Approaches 21 3. CONCEPTUAL MODEL 22 3.1. Research Method 22 3.2. Conceptual Model 25 3.3. State-of-the-Art Summary 30 4. PROPOSED TECHNIQUE 34 4.1. The Goal of the Thesis 34 4.2. Proposed Technique 35 5. CASE STUDY 42 5.1. Objective 43 5.2. Design 43 5.3. Results 47 5.3.1. RQ1: How does the proposed approach compare with state-of-the-art approaches in terms of performance with respect to time, selected tests and fault detection capabilities? 47 5.3.1.1. Time 47 5.3.1.2. Selected Test Ratio 52 5.3.1.3. Fault Detection Rate 53 5.3.1.4. Detailed Time Analysis 56 5.3.2. RQ2: How does the proposed approach compare with state-of-the-art approaches in terms of cost-efficiency? 58 5.4. Threats to Validity 59 5.4.1. Construct Validity 59 5.4.2. Internal Validity 59 5.4.3. External Validity 60 5.4.4. Reliability 60 6. CONCLUSION 62 REFERENCES 64 APPENDICES 75 Appendix 1 - Intermediate Conceptual Model Figures 75 Appendix 2 - Papers driven from thesis 79tr_TR
dc.language.isoentr_TR
dc.publisherFen Bilimleri Enstitüsütr_TR
dc.rightsinfo:eu-repo/semantics/openAccesstr_TR
dc.subjectRegression test selection
dc.subjectRegression testing
dc.subjectDynamic analysis
dc.subjectText difference based regression testing
dc.subjectConceptual model
dc.subjectRegresyon test seçimi
dc.subjectRegresyon testi
dc.subjectDinamik analiz
dc.subjectMetin farkı tabanlı regresyon testi
dc.subjectKonsept model
dc.titleA Method For Selectıng Regressıon Test Cases Based On Software Changes And Software Faultstr_eng
dc.title.alternativeRegresyon Testlerinin Seçimi İçin Yazılım Değişikliklerine ve Yazılım Hatalarına Dayalı Bir Yöntemtr_TR
dc.typeinfo:eu-repo/semantics/masterThesistr_TR
dc.description.ozetRegresyon testi, değiştirilmiş bir yazılımda tüm parçaların işlevlerinin doğru çalıştığını güvence etmek için gerçekleştirilen bir test türüdür. Artan modern, çevik ve büyük kapsamlı yazılım sistemleri ile birlikte yazılım geliştirme döngüsünün bir parçası olabilmek için regresyon test seçiminin de etkili, hızlı, verimli ve pratik olması gerekmektedir. Bu amaç doğrultusunda bu tez kapsamında modern hibrit bir regresyon test seçim yöntemi önerilmiştir. Regresyon test alanının etkin kavramlarını tanımlamak ve görsel olarak daha iyi anlamak için ayrıntılı bir literatür taraması ile birlikte bir konsept modeli sunulmuştur. Hem sınıf hem de üçüncü-parti metin dosyaları için fark tabanlı teknikler kullanarak farklı detay katmanlarında çalışabilen bir teknik anlatılmıştır. Önerilen teknik okunabilir dosyalar için sözcük tabanlı karşılaştırma metotları kullanırken, herhangi bir ikili dosyalar için de sağlama toplamı yöntemlerini dosya veya metot detay seviyelerinde kullanmaktadır. Kullanıcıların farklı performans isterlerini karşılamak amacıyla ayarlanabilir bir benzerlik eşiği sunulmuştur. Ayrıca, önerilen tekniğin verimini artırmak için varsa test ve hata verileri de kullanılmıştır. Önerilen teknik ve diğer modern, gelişmiş teknikler, açık kaynak kodlu projeler kullanılarak gömülü, çoklu bir durum çalışması şeklinde geniş çaplı bir değerlendirmeye tabii tutulmuştur. Sonuçlar önerilen tekniğin, diğer teknikler kadar etkili olduğunu ve hata tespit oranını yüksek seviyede tutarken daha az test seçtiğini göstermiştir.tr_TR
dc.contributor.departmentBilgisayar Mühendisliğitr_TR
dc.embargo.termsAcik erisimtr_TR
dc.embargo.lift-


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