Fast model-based fault localisation with test suites
Fast model-based fault localisation with test suites
  Fault localisation, i.e. the identification of program locations that cause errors, takes significant effort and cost. We describe a fast model-based fault localisation algorithm which, given a test suite, uses symbolic execution methods to fully automatically identify a small subset of program locations where genuine program repairs exist. Our algorithm iterates over failing test cases and collects locations where an assignment change can repair exhibited faulty behaviour. Our main contribution is an improved search through the test suite, reducing the effort for the symbolic execution of the models and leading to speed-ups of more than two orders of magnitude over the previously published implementation by Griesmayer et al.
We implemented our algorithm for C programs, using the KLEE symbolic execution engine, and demonstrate its effectiveness on the Siemens TCAS variants. Its performance is in line with recent alternative model-based fault localisation techniques, but narrows the location set further without rejecting any genuine repair locations where faults can be fixed by changing a single assignment
  automated debugging, fault localisation, symbolic execution
  
  
  38-57
  
  
    
      Birch, Geoff
      
        4e118f9f-4a3a-4f28-893d-57423b360c16
      
     
  
    
      Fischer, Bernd
      
        0c9575e6-d099-47f1-b3a2-2dbc93c53d18
      
     
  
    
      Poppleton, Michael
      
        4c60e63f-188c-4636-98b9-de8a42789b1b
      
     
  
  
   
  
  
    
    
  
    
      2015
    
    
  
  
    
      Birch, Geoff
      
        4e118f9f-4a3a-4f28-893d-57423b360c16
      
     
  
    
      Fischer, Bernd
      
        0c9575e6-d099-47f1-b3a2-2dbc93c53d18
      
     
  
    
      Poppleton, Michael
      
        4c60e63f-188c-4636-98b9-de8a42789b1b
      
     
  
       
    
 
  
    
      
  
  
  
  
    Birch, Geoff, Fischer, Bernd and Poppleton, Michael
  
  
  
  
   
    (2015)
  
  
    
    Fast model-based fault localisation with test suites.
  
  
  
  
   In Tests and Proofs: 9th International Conference, TAP 2015, Held as Part of STAF 2015, L’Aquila, Italy, July 22-24, 2015. Proceedings. 
  vol. 9154, 
      Springer. 
          
          
        .
    
  
  
  
   (doi:10.1007/978-3-319-21215-9_3).
  
   
  
    
      Record type:
      Conference or Workshop Item
      (Paper)
      
      
    
   
    
      
        
          Abstract
          Fault localisation, i.e. the identification of program locations that cause errors, takes significant effort and cost. We describe a fast model-based fault localisation algorithm which, given a test suite, uses symbolic execution methods to fully automatically identify a small subset of program locations where genuine program repairs exist. Our algorithm iterates over failing test cases and collects locations where an assignment change can repair exhibited faulty behaviour. Our main contribution is an improved search through the test suite, reducing the effort for the symbolic execution of the models and leading to speed-ups of more than two orders of magnitude over the previously published implementation by Griesmayer et al.
We implemented our algorithm for C programs, using the KLEE symbolic execution engine, and demonstrate its effectiveness on the Siemens TCAS variants. Its performance is in line with recent alternative model-based fault localisation techniques, but narrows the location set further without rejecting any genuine repair locations where faults can be fixed by changing a single assignment
        
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  More information
  
    
      e-pub ahead of print date: 17 July 2015
 
    
      Published date: 2015
 
    
  
  
    
  
    
  
    
     
        Venue - Dates:
        TAP 2015: 9th International Conference, , L’Aquila, Italy, 2015-07-22 - 2015-07-24
      
    
  
    
  
    
  
    
     
        Keywords:
        automated debugging, fault localisation, symbolic execution
      
    
  
    
     
        Organisations:
        Electronic & Software Systems
      
    
  
    
  
  
        Identifiers
        Local EPrints ID: 381946
        URI: http://eprints.soton.ac.uk/id/eprint/381946
        
          
        
        
        
          ISSN: 0302-9743
        
        
          PURE UUID: 0a2368c5-9bec-427d-8a12-c6302ffdedfa
        
  
    
        
          
            
          
        
    
        
          
            
          
        
    
        
          
            
          
        
    
  
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  Date deposited: 19 Oct 2015 10:23
  Last modified: 15 Mar 2024 14:45
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      Contributors
      
          
          Author:
          
            
              
              
                Geoff Birch
              
              
            
            
          
        
      
          
          Author:
          
            
              
              
                Bernd Fischer
              
              
            
            
          
        
      
          
          Author:
          
            
              
              
                Michael Poppleton
              
              
            
            
          
        
      
      
      
    
  
   
  
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