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Introduction to Software Testing Chapter 9.2 Challenges in Testing Software – Software Testability Paul Ammann & Jeff Offutt www.introsoftwaretesting.com.

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Presentation on theme: "Introduction to Software Testing Chapter 9.2 Challenges in Testing Software – Software Testability Paul Ammann & Jeff Offutt www.introsoftwaretesting.com."— Presentation transcript:

1 Introduction to Software Testing Chapter 9.2 Challenges in Testing Software – Software Testability Paul Ammann & Jeff Offutt

2 Introduction to Software Testing (Ch 9.2), © Ammann & Offutt 2 Chapter 9 Outline 1.Testing for Emergent Properties: Safety and Security 2.Software Testability 3.Test Criteria and the Future of Software Testing Software Testability

3 Introduction to Software Testing (Ch 9.2), © Ammann & Offutt 3 Testability Overview Testability is distinct from software testing General definition : An estimate or measurement of a conditional probability – assuming that a software artifact contains a fault, how likely is it that testing will reveal that fault ? What do we do with testability estimates ? – Pay more attention to components with low testability – code reviews, formal analysis, stronger test criteria – Modify low testability components to increase their testability – We have more confidence in components with high testability – Risk analysis – low testability components represent risk that management needs to be aware of

4 Introduction to Software Testing (Ch 9.2), © Ammann & Offutt 4 Model of Testability If a program has a fault, how difficult will it be to find a test that causes a failure ? Simple model Out failure causing Inputs P Testability = | failure causing | | Input | X 100 % Impractical to measure

5 Introduction to Software Testing (Ch 9.2), © Ammann & Offutt 5 Approximating Testability Testability can be approximated with the RIP model and mutation Given a location X in a program P P: entry X exit Induce faults (mutants) R = % inputs from some distribution that reach X I = % inputs that cause a fault to infect (average over N faults) P = % infected states that propagate to output Sensitivity (X) = R * I * P Testability (P) = F (Sensitivity (X)), for all X in P

6 Introduction to Software Testing (Ch 9.2), © Ammann & Offutt 6 Issues in Approximating Testability Reasonable input distribution ? How to induce faults ? – What faults ? How to measure propagation ? – Expensive! Information hiding reduces propagation Assertion checking can be used to increase testability

7 Introduction to Software Testing (Ch 9.2), © Ammann & Offutt 7 Testability of OO Software Information hiding decreases testability – State information is saved in instance variables – No direct access to instance variables Inheritance compounds the problem – Instance variables are defined in ancestor classes – harder to get to These are primarily issues of observability Increasing observability in OO software : – Require additional get ( ) methods – must be done during development – Use Java reflection to access internal variables – hard to interpret the data values This is an area of ongoing research

8 Introduction to Software Testing (Ch 9.2), © Ammann & Offutt 8 Testability of Web Applications Both controllability and observability are very low User interface and most software components distributed on different computers – Server software may be distributed even further Most communication is through message passing Much of the inter-component communication goes through the client – Stateless HTTP messages State is kept in an unusual combination of technologies – Cookies and session objects Testability in web applications is still very much an open research area

9 Introduction to Software Testing (Ch 9.2), © Ammann & Offutt 9 Testability Summary Testability can give valuable information to testers, managers and developers Testability is often thought of as combining two characteristics of software – Controllability and observability Measuring testability is a very technical task How best to measure testability is still an open research problem


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