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How Human and Machine Cooperate to Get Job Done Cooperative Developer Testing: Tao Xie North Carolina State University In collaboration with Xusheng Xiao@NCSU ASE and Nikolai Tillmann, Peli de Halleux@Microsoft Research and students

How Human and Machine Cooperate to Get Job Done

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Cooperative Developer Testing:. How Human and Machine Cooperate to Get Job Done. Tao Xie North Carolina State University In collaboration with Xusheng Xiao @NCSU ASE and Nikolai Tillmann , Peli de Halleux @Microsoft Research and students. Why Automate Testing?. - PowerPoint PPT Presentation

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Page 1: How Human and Machine Cooperate  to Get Job Done

How Human and Machine Cooperate to Get Job Done

Cooperative Developer Testing:

Tao XieNorth Carolina State University

In collaboration with Xusheng Xiao@NCSU ASE and Nikolai Tillmann, Peli de Halleux@Microsoft Research and

students

Page 2: How Human and Machine Cooperate  to Get Job Done

Why Automate Testing? Software testing is important

Software errors cost the U.S. economy about $59.5 billion each year (0.6% of the GDP) [NIST 02]

Improving testing infrastructure could save 1/3 cost [NIST 02]

Software testing is costly Account for even half the total cost of software

development [Beizer 90]

Automated testing reduces manual testing effort Test execution: JUnit, NUnit, xUnit, etc. Test generation: Pex, AgitarOne, Parasoft Jtest, etc. Test-behavior checking: Pex, AgitarOne, Parasoft Jtest, etc.

Page 3: How Human and Machine Cooperate  to Get Job Done

Software Testing Problems

=?Outputs

Expected

Outputs

Program

+

Test inputs

Test Oracles

Test Generation (machine) Generating high-quality test inputs (e.g.,

achieving high code coverage)

Test Oracles (human) Specifying high-quality test oracles (e.g.,

guarding against various faults)

Page 4: How Human and Machine Cooperate  to Get Job Done

Test Generation Human

Expensive, incomplete, … Brute Force

Pairwise, predefined data, etc… Random:

Cheap, Fast “It passed a thousand tests” feeling

Dynamic Symbolic Execution: Pex, CUTE,EXE Automated white-box Not random – Constraint Solving

Page 5: How Human and Machine Cooperate  to Get Job Done

Dynamic Symbolic Execution

Code to generate inputs for:

Constraints to solve

a!=null a!=null &&a.Length>0

a!=null &&a.Length>0 &&a[0]==1234567890

void CoverMe(int[] a){ if (a == null) return; if (a.Length > 0) if (a[0] == 1234567890) throw new Exception("bug");}

Observed constraints

a==nulla!=null &&!(a.Length>0)a!=null &&a.Length>0 &&a[0]!=1234567890

a!=null &&a.Length>0 &&a[0]==1234567890

Datanull

{}

{0}

{123…}a==null

a.Length>0

a[0]==123…T

TF

T

F

F

Execute&MonitorSolveChoose next path

Done: There is no path left.

Negated condition

Page 6: How Human and Machine Cooperate  to Get Job Done

Pex:Visual Studio Power Tool

Download counts (20 months)(Feb. 2008 - Oct. 2009 )

Academic: 17,366 Devlabs: 13,022 Total: 30,388

http://research.microsoft.com/projects/pex/

Page 7: How Human and Machine Cooperate  to Get Job Done

Loops/path explosion Fitnex [Xie et al. DSN 09]

Method sequences MSeqGen [Thummalapenta et al. ESEC/FSE 09]

External methods or environments e.g., file systems, network, db, … Parameterized Mock Objects [Taneja et al. ASE 10-sp]

Opportunities Regression testing [Taneja et al. ICSE 09-nier] Manually written unit tests [Thummalapenta et al. FASE 11] Developer guidance (cooperative developer testing)

[Xiao et al. ICSE 11]

Challenges of DSE

Page 8: How Human and Machine Cooperate  to Get Job Done

Open Source Pex extensionshttp://pexase.codeplex.com/

Publications: http://research.microsoft.com/en-us/projects/pex/community.aspx#publications

Page 9: How Human and Machine Cooperate  to Get Job Done

Problems Faced by DSE

Page 10: How Human and Machine Cooperate  to Get Job Done

DSE Challenges - Preliminary Study

Real EMCPs: 0Real OCPs: 5

Reported EMCPs: 44Reported OCPs: 18 vs.

external-method call problems (EMCP)

object-creation problems (OCP)

Page 11: How Human and Machine Cooperate  to Get Job Done

DSE Challenges - Preliminary Study

object-creation problems (OCP) - 64.79% external-method call problems (EMCP) -

26.76% boundary problems – 5.63% limitations of the used constraint solver –

2.82%Preliminary results show that the total block coverage achieved is 49.87%, with the lowest coverage being 15.54%.

Page 12: How Human and Machine Cooperate  to Get Job Done

External-Method Call Problems (EMCP) Example

Example 1: File.Exists has data

dependencies on program input

Subsequent branch at Line 1 using the return value of File.Exists. Example 2:

Path.GetFullPath has data dependencies on program input

Path.GetFullPath throws exceptions.

Example 3: Stirng.Format do not cause any problem

Page 13: How Human and Machine Cooperate  to Get Job Done

Object-Creation Problems (OCP) Example

• To cover true branch at Line 5, tools need to generate sequences of method calls: Stack s1 = new Stack();s1.Push(new object());

……s1.Push(new object());FixedSizeStack s2 = new FixedSizeStack (s1);

stack.Count() returns the size of stack.items

• Most tools cannot generate such sequence

• true branch at Line 5 has data dependencies on stack.items (List<object>)

Page 14: How Human and Machine Cooperate  to Get Job Done

Cooperative Developer TestingDevelopers provide guidance to help

tools achieve higher structural coverage

Apply tools to generate tests Tools report achieved coverage & problems Developers provide guidance▪ ECMP: Instrumentation or Mock Objects▪ OCP: Factory Methods

Page 15: How Human and Machine Cooperate  to Get Job Done

Existing Solution ofProblem Identification

Existing solution (e.g., in Pex) identify all external-method calls in the program report all the non-primitive object types of

program inputs and their fields

Limitations the number could be high some identified problem are irrelevant, not

causes for the tools not to achieve high structural coverage

Page 16: How Human and Machine Cooperate  to Get Job Done

DSE Challenges - Preliminary Study

Real EMCPs: 0Real OCPs: 5

Reported EMCPs: 44Real OCPs: 18 vs.

Page 17: How Human and Machine Cooperate  to Get Job Done

Proposed Approach: Covana

Precisely identify problems faced by tools when achieving structural coverage

Insight Not-covered branches have data

dependency on real problem candidates

Three main steps: Problem Candidate Identification Forward Symbolic Execution Data Dependence Analysis

[Xiao et al. ICSE 2011]

Page 18: How Human and Machine Cooperate  to Get Job Done

Overview of Covana

Data Dependence Analysis

Forward Symbolic Execution

Problem Candidat

es

Problem Candidate Identificati

on

Runtime Informati

on

Identified Problems

Coverage

Program / PUT

Generated Test Inputs

Runtime Events

Page 19: How Human and Machine Cooperate  to Get Job Done

Overview of Covana

Data Dependence Analysis

Forward Symbolic Execution

Problem Candidat

es

Problem Candidate Identificati

on

Runtime Informati

on

Identified Problems

Coverage

Program / PUT

Generated Test Inputs

Runtime Events

Page 20: How Human and Machine Cooperate  to Get Job Done

Problem Identification EMCP Candidate Identification

External-method calls whose arguments have data dependencies on program inputs (e.g., NOT method calls that print constant strings or put a thread to sleep for some time)

OCP Candidate Identification Only non-primitive argument types

(e.g., NOT int, boolean, double)

Page 21: How Human and Machine Cooperate  to Get Job Done

Example EMCP Candidate Identification

Data Dependencies

Page 22: How Human and Machine Cooperate  to Get Job Done

Example OCP Candidate Identification

OCP Candidates: FixedSizeStack FixedSizeStack.st

ack Stack.items object

Page 23: How Human and Machine Cooperate  to Get Job Done

Overview of Covana

Data Dependence Analysis

Forward Symbolic Execution

Problem Candidat

es

Problem Candidate Identificati

on

Runtime Informati

on

Identified Problems

Coverage

Program / PUT

Generated Test Inputs

Runtime Events

Page 24: How Human and Machine Cooperate  to Get Job Done

Forward Symbolic Execution

Turn elements of problem candidates symbolic EMCP: return values of external-method calls OCP: non-primitive program inputs and their fields

Perform symbolic execution (e.g., DSE/Pex)

Collect runtime information Symbolic expression in branches Uncaught exceptions

Page 25: How Human and Machine Cooperate  to Get Job Done

Overview of Covana

Data Dependence Analysis

Forward Symbolic Execution

Problem Candidat

es

Problem Candidate Identificati

on

Runtime Informati

on

Identified Problems

Coverage

Program / PUT

Generated Test Inputs

Runtime Events

Page 26: How Human and Machine Cooperate  to Get Job Done

Data Dependence Analysis

Symbolic Expression:return(File.Exists) == true

Element of ECMP Candidate:return(File.Exists)

Branch Statement Line 1 has data dependency on File.Exists at Line 1

Page 27: How Human and Machine Cooperate  to Get Job Done

EMCP Analysis Data Dependence Analysis:

partially-covered branch statements have data dependencies on EMCP candidates for return values

Exception Analysis: extract external-method calls from

exception trace the remaining parts of the program after

the call site of the external-method call are not covered

Page 28: How Human and Machine Cooperate  to Get Job Done

Example EMCP AnalysisBranch Statement Line 1 has data dependency on File.Exists at Line 1

False branch at Line 1 is not covered

File.Exists is reported

Path.GetFullPath throws exceptions for all executions

Code after Line 6 is not covered

Path.GetFullPath is reported

Page 29: How Human and Machine Cooperate  to Get Job Done

OCP Analysis Data Dependence Analysis

for partially-covered branch statements data dependencies on non-primitive

program input report program input

data dependencies on fields of program input

report the object type of field directly??

Page 30: How Human and Machine Cooperate  to Get Job Done

Example OCP Analysisstack.Count() returns the size of the field stack.items

true branch at Line 5 is not covered

Report List<object>, the object type of stack.items

False Warning!!!

an object type of List<object> cannot be used by the tools: not assignable to the field Stack.items by invoking a public constructor or a public setter method of its declaring class Stack!!

Page 31: How Human and Machine Cooperate  to Get Job Done

Field Declaration Hierarchy

FixedSizeStack .stack

Stack.items

FixedSizeStackField Declaration Hierarchy:

reflection can achieve this: first look at all fields of FixedSizeStack, then all fields of FixedSizeStack.stack, and finally Stack.items.

Page 32: How Human and Machine Cooperate  to Get Job Done

OCP Analysis Algorithm

Only program input, report it directly

Check whether a field is assignable for its declaring class

report its declaring class

report the field itself

Page 33: How Human and Machine Cooperate  to Get Job Done

Implementation An extension to Pex

identify problem candidates turn elements of problem candidates symbolic collect runtime information

Data dependence analyzer analyze runtime information Identify problems

Graphic User Interface (GUI) component show identified problems with detailed analysis

information

Page 34: How Human and Machine Cooperate  to Get Job Done

Evaluation – Subjects and Setup

Subjects: xUnit: unit testing framework for .NET▪ 223 classes and interfaces with 11.4 KLOC

QuickGraph: C# graph library▪ 165 classes and interfaces with 8.3 KLOC

Evaluation setup: Pex with the implemented extension as our DSE

test-generation tool Apply Pex to generate tests for program under test Collect coverage and runtime information for

identifying EMCPs and OCPs

Page 35: How Human and Machine Cooperate  to Get Job Done

Evaluation – Research Questions

RQ1: How effective is Covana in identifying the two main types of problems, EMCPs and OCPs?

RQ2: How effective is Covana in pruning irrelevant problem candidates of EMCPs and OCPs?

Page 36: How Human and Machine Cooperate  to Get Job Done

Evaluations - RQ1: Problem Identification

Covana identifies • 43 EMCPs with only 1 false positive and 2 false negatives•155 OCPs with 20 false positives and 30 false negatives.

Page 37: How Human and Machine Cooperate  to Get Job Done

Example Identified OCP

requires the field typeUnderTest of TestClassCommand not null and to implement at least one interface

typeUnderTest is assignable for TestClassCommand . Report ITypeInfo of typeUnderTest as OCP

ClassStart, Pex achieved block coverage of 2/27 (7.14%)

Page 38: How Human and Machine Cooperate  to Get Job Done

Evaluations –RQ2: Irrelevant-Problem-Candidate Pruning

Covana prunes • 97.33% (1567 in 1610) EMCP candidates with 1 false positive and 2 false negatives• 65.63% (296 in 451) OCP candidates with 20 false positives and 30 false negatives

Page 39: How Human and Machine Cooperate  to Get Job Done

Discussion Assisting other structural test-

generation approaches automatic mock object generation: only

deal with external-method calls of EMCPs random approach: assign more

possibilities on exploring object types of OCPs

advanced method-sequence-generation approaches (e.g., MSeqGen): only deal with object types of OCPs

Page 40: How Human and Machine Cooperate  to Get Job Done

Software Testing

=?Outputs

Expected

Outputs

Program

+

Test inputs

Test Oracles

Test Generation (machine) Generating high-quality test inputs (e.g.,

achieving high code coverage)

Test Oracles (human) Specifying high-quality test oracles (e.g.,

guarding against various faults)

Page 41: How Human and Machine Cooperate  to Get Job Done

Regression Test Generation Given a method f(x) (old version) and g (x) (new

version) , synthesize meta-program branch cov:

h(x) := Assert(f(x) == g(x))

if (f(x) != g(x)) throw new Exception(“changed behavior !”); Complications:

What if x is a non-primitive type? deep clone, method-sequence generation, …

How to compare receiver objects? deep state comparison, …

[Taneja and Xie. ASE 08 SP]

Page 42: How Human and Machine Cooperate  to Get Job Done

Migrating Pex to the Web/CloudTry it at http://www.pexforfun.com/

Demo

• Engineering Pex for serious games in computer science• Train problem solving/programming skills and abstraction skills

Page 43: How Human and Machine Cooperate  to Get Job Done

Software Testing

=?Outputs

Expected

Outputs

Program

+

Test inputs

Test Oracles

Test Generation (machine) Generating high-quality test inputs (e.g.,

achieving high code coverage)

Test Oracles (human) Specifying high-quality test oracles (e.g.,

guarding against various faults)

Page 44: How Human and Machine Cooperate  to Get Job Done

Thank you!

Questions ?

https://sites.google.com/site/asergrp/

Page 45: How Human and Machine Cooperate  to Get Job Done

Observation of Path Condition

This path condition contains all the required fields, since all of them are assigned symbolic values

FixedSizeStack s3 = new ∧Stack s2 = s3.stack ∧ List<object> s1 = s2.items ∧ int s0 = s1._size ∧ s0 == 10

Path Condition that leads to true branch at Line 5:

Page 46: How Human and Machine Cooperate  to Get Job Done

Observation of Path Condition

This path condition contains all the required fields, since all of them are assigned symbolic values

FixedSizeStack s3 = new ∧Stack s2 = s3.stack ∧ List<object> s1 = s2.items ∧ int s0 = s1._size ∧ s0 == 10

Path Condition that leads to true branch at Line 5:

Page 47: How Human and Machine Cooperate  to Get Job Done

Constructing Field Declaration Hierarchy Extract fields from path conditions and

construct a field declaration hierarchyFixedSizeStack s3 = new ∧Stack s2 = s3.stack ∧ List<object> s1 = s2.items ∧ int s0 = s1._size ∧ s0 == 10

FixedSizeStack .stack

Stack.items

FixedSizeStack

Page 48: How Human and Machine Cooperate  to Get Job Done

Discussion cont.

Static field initialized inside class side effecting symbolic analysis by

previous testsConcrete argument for external-

method calls using constant string to access external

environment affecting achieved coverage

Page 49: How Human and Machine Cooperate  to Get Job Done

Discussion cont.

Other potential issues argument side effect of external-method

calls control dependency static analysis

Future work carry out experiments to evaluate the

effectiveness of incorporating these three more features