While the companies are making the use of information oceans and derive profits from the data they store; at the same time they suffer from it. It is obvious that no company can cope with data growth by just increasing their hardware capacity. Companies need to find out smart solutions for this inevitable growth. When we degrade the subject into testing, we observe that IT organizations are deeply focusing on the collection and organization of data for their testing processes. The ability to control this process and use test data has become the key competitive advantage for these organizations because benefits of such mechanisms will worth against their tradeoffs. Ultimately, test data management plays a vital role in any software development project and unstructured processes may lead organizations to; •Do inadequate testing (poor quality of product) •Be unresponsive (increased time-to-market) •Do redundant operations and rework (increased costs) •Be non-compliant with regulatory norms (especially on data confidentiality and usage) No matter which approach you choose to eliminate the challenges of this important subject, test data management; basic requirements for you to be successful are; combination of good test cases and test data, along with the proper usage of tools to help you automating extraction, transformation and governance of the data being used. Test Veri Yönetimi Yazılım testlerinin etkinliğini belirleyen en önemli unsurlardan bir tanesi kullanılan test veri setidir. Testlerin dar bir test veri setiyle yapılması: - test kapsamının düşmesine - testlerin yanlış sonuçlar vermesine - canlıda beklenmeyen hataların çıkmasına neden olmaktadır. Test veri setlerinin optimum seviyede doğru verilerle oluşturulabilmesi için iki kritik başarı faktörü bulunmaktadır. 1-Milyonlarca test verisi içerisinden test kapsamını belli seviyede sağlayak test veri kümesinin oluşturulabilmesi için uluslararası test tekniklerinin kullanılması - Denklik sınıfı test tekniği (equivalance partitioning test technique) - Sınır değer test tekniği (boundary value test technique) - Pairwise test tekniği - Combinatorial test tekniği - …. 2- Doğru test veri yönetimi aracının seçilmesi - Canlı ortamdaki verileri maskeleyerek test verisi oluşturan araçlar - Girilen veri tiplerine uygun rastgele test verisi yaratan araçlar Test veri yönetimi ile ilgili daha fazla bilgi almak için: Test veri yönetimi ile ilgili yaklaşımımızı içeren sunumu görmek için tıklayınız: http://www.slideshare.net/keytorc Keytorc’un test veri yönetimi konusunda uzman ekibiyle iletişime geçmek için:www.keytorc.com ya da blogs.keytorc.com

1. Test Data Management
Approach

2. Test Data Insights
Testing determines the quality of any product,
Test data determines the quality of testing,
Testing accounts up to 60% of development lifecycle,
Data-related tasks occupy about 60% of Application Development and Testing time.
Test Data Preparation accounts about 50% of total test effort,
Over 50% of business data can be considered confidential,

3. Test Data Management - Challenges
1
1.
2.
3.
4.
5.
6.
7.
8.
Generic
Challenges
Big Data
Time-to-Market
Project Costs
Maintaining & Logistics
Application Complexity
Database Complexity
Security
Regulations & Laws &
Compliance
2
Test Specific
Challenges
1. Quality of Testing
2. Data Preparation
Efforts
3. Control of Multiple
Test Environments
4. Test Data Consistency
5. End-to-end traceability
of test data
6. Invalid Defects due to
test data anomalies
7. TDM Tool Selection &
Utilization
8. Skilled TDM Specialists

4. Test Data Management - Process
Dev.
DB
Extract
Extract
Medium
Load
Production
DB
Test
DB
UAT
DB
De-sensitize Customer Data  Masking
Reduce Quantity  Sub-setting
Software
Solutions

5. Test Data Management - Lifecycle
TD Planning
Create/ Modify
Application
TD Analysis
TD Design
Create Test
Environment
Subset
TD Execution
Test Data
Preparation
TD Prep.
Insert/Edit
TD Use
TD Maintenance
Mask
Test
Execution
Refresh Test Data
Check Test
Results
Extract
Compare
Script Update
Data Update
Go LIVE!

6. Test Data Management - Data Requirements
What kind of data is needed?
How much data is needed?
When is the data needed?
Who will need the data?
Where will the data be loaded?
What are the dependencies?
What type of testing will the data be used for?
How will the data be secured/de-sensitized?
How will the data be managed?
How will the data be updated/refreshed?

7. Test Data Management - Objectives
In order to be efficiently used for any test activity, Test Data should
possess the following characteristics;
Reliable
Accessible
Complete
Consistent
Integral
Error-Free
Secure
Relevant
Timely

8. Test Data Management - Test Types/Levels

9. +
More than 350 corporate clients…
Testing Center of Excellence
Test Automation Services
Performance Testing Services
Test Maturity Assessments
(TMMi, TPI, customized)
Value-added Outsourcing
Service Level Agreements
ISTQB Certified Test Engineers
ISTQB Foundation Level
ISTQB Advanced Level
Test Analyst
Technical Test Analyst
Test Manager
Test Automation Course
Performance Testing Course
Mobile Testing Course
Usability Testing Course

10. +
+
Turkey Software Quality Report
http://turkishtestingboard.org/turkish/tsqr.htm

11. +
TestIstanbul Conferences
http://www.testistanbul.org/

12. Contact
Bize Ulaşın
info@keytorc.com
blogs.keytorc.com
tr.linkedin.com/in/keytorc
www.twitter.com/Keytorc
Keytorc Software Testing Services