My flings with data analysis

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This short talk presents some observations and opportunities in the space of using data analysis to enable, accomplish, and improve software engineering tasks such as testing.

Dados e análise Tecnologia Educação

My Flings with
Data Analysis
Venkatesh-‐Prasad
Ranganath

Kansas
State
University

!
Dagstuhl
Software
Development
Analytics
Seminar

June
25,
2014
The
described
efforts
were
carried
out
at
Microsoft
Research
and
Microsoft.

Observations
1. Involve the users early
2. Don’t fear the unconventional
3. Embrace dynamic artifacts
• Logs, core dumps, usage profiles, etc.
4. Have a feedback loop involving the users
5. Domain knowledge is a power pellet
6. Questions and answers first, methods later
7. Relevant features and simple methods work really well
8. Quick trumps slow and utility trumps quick
9. Automate (whenever possible)
10.Presentation matters
11.Models are good, simple explanations are better

Win8
USB
3.0

Driver
Stack
XHCI
Driver1
Win7
USB
2.0

Driver
Stack

Driver1
EHCI OHCI UHCI
Driver2
USB
2.0

device
USB
2.0

device
Is USB 3.0/Win8 ≈ USB 2.0/Win7?
Collaborators:
Randy
Aull,
Pankaj
Gupta,
Jane
Lawrence,
Pradip
Vallathol,
&
Eliyas
Yakub
When a USB 2.0 device is plugged into a USB 3.0 port on Win8,
the USB 3.0 stack in Win8 should behave as the USB 2.0 stack
in Win7 (along both software and hardware interfaces).

USB2

Log
Pattern
Miner
USB2
Patterns
USB3

Log
Pattern
Miner
USB3
Patterns
Structural
and
Temporal

Pattern
Diffing
USB2

Patterns
USB3

Patterns
DispatchIrp

forward
alternates
with
IrpCompletion
&&
PreIoCompleteRequest

when

IOCTLType=IRP_MJ_PNP(0x1B),IRP_MN_START_DEVICE(0x00),
irpID=SAME,
and

IrpSubmitDetails.irp.ioStackLocation.control=SAME
IOCTLType=URB_FUNCTION_BULK_OR_INTERRUPT_TRA
NSFER(0x09)

&&
IoCallDriverReturn
&&
IoCallDriverReturn.irql=2

&&
IoCallDriverReturn.status=0xC000000E
Patterns-‐based Compatibility Testing

Results
Device Id Detected Reported False +ve Unique
1 9844 478 465 10
2 2545 15 11 2
3 743 4 1 1
4 1372 2 2 0
5 26118 55 55 0
6 26126 0 0 0
7 2320 0 0 0
8 27804 2 1 1
9 34985 115 98 4
10 51556 59 56 3
11 695 0 0 0
12 1372 0 0 0
13 3315 24 23 1
14 9299 3 0 2

Test Suite Reduction
Experience-‐based Selection
Collaborators:
Naren
Datha,
Robbie
Harris,
Aravind
Namasivayam,
&
Pradip
Vallathol

Patterns-‐based Test Suite Reduction
Cluster-‐n-‐Select

• 50% reduction in test suite size
• 75-‐80% bugs uncovered (v/s human-‐based baseline)
• Fully automated (except for threshold setting)
• Flying without safety net
Results

Structural & Temporal Patterns (w/ Data flow)
h=fopen
....
fclose(h)
(h!=0
&&
h=fopen)
....
fclose(h)
21
=
fopen(“passwd.txt”,
“r”)
....
fclose(21)
fopen
....
fclose
21=fopen
....
fclose(21)
21=fopen(,
“r”)
....
fclose(21)

Opportunities
• Combining of dynamic and static artifacts/techniques
• Time to move beyond repositories
• Using data analysis to improve techniques
• Exploring/designing language for
• Query
• Visualization
• Scaling
• Distributed Computing
• GPUs

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1. My Flings with Data Analysis Venkatesh-‐Prasad Ranganath Kansas State University ! Dagstuhl Software Development Analytics Seminar June 25, 2014 The described efforts were carried out at Microsoft Research and Microsoft.

2. Observations 1. Involve the users early 2. Don’t fear the unconventional 3. Embrace dynamic artifacts • Logs, core dumps, usage profiles, etc. 4. Have a feedback loop involving the users 5. Domain knowledge is a power pellet 6. Questions and answers first, methods later 7. Relevant features and simple methods work really well 8. Quick trumps slow and utility trumps quick 9. Automate (whenever possible) 10.Presentation matters 11.Models are good, simple explanations are better

3. Win8 USB 3.0 Driver Stack XHCI Driver1 Win7 USB 2.0 Driver Stack Driver1 EHCI OHCI UHCI Driver2 USB 2.0 device USB 2.0 device Is USB 3.0/Win8 ≈ USB 2.0/Win7? Collaborators: Randy Aull, Pankaj Gupta, Jane Lawrence, Pradip Vallathol, & Eliyas Yakub When a USB 2.0 device is plugged into a USB 3.0 port on Win8, the USB 3.0 stack in Win8 should behave as the USB 2.0 stack in Win7 (along both software and hardware interfaces).

4. One could ….

5. USB2 Log Pattern Miner USB2 Patterns USB3 Log Pattern Miner USB3 Patterns Structural and Temporal Pattern Diffing USB2 Patterns USB3 Patterns DispatchIrp forward alternates with IrpCompletion && PreIoCompleteRequest when IOCTLType=IRP_MJ_PNP(0x1B),IRP_MN_START_DEVICE(0x00), irpID=SAME, and IrpSubmitDetails.irp.ioStackLocation.control=SAME IOCTLType=URB_FUNCTION_BULK_OR_INTERRUPT_TRA NSFER(0x09) && IoCallDriverReturn && IoCallDriverReturn.irql=2 && IoCallDriverReturn.status=0xC000000E Patterns-‐based Compatibility Testing

6. Results Device Id Detected Reported False +ve Unique 1 9844 478 465 10 2 2545 15 11 2 3 743 4 1 1 4 1372 2 2 0 5 26118 55 55 0 6 26126 0 0 0 7 2320 0 0 0 8 27804 2 1 1 9 34985 115 98 4 10 51556 59 56 3 11 695 0 0 0 12 1372 0 0 0 13 3315 24 23 1 14 9299 3 0 2

7. Test Suite Reduction Experience-‐based Selection Collaborators: Naren Datha, Robbie Harris, Aravind Namasivayam, & Pradip Vallathol

8. Patterns-‐based Test Suite Reduction Cluster-‐n-‐Select

9. • 50% reduction in test suite size • 75-‐80% bugs uncovered (v/s human-‐based baseline) • Fully automated (except for threshold setting) • Flying without safety net Results

10. Structural & Temporal Patterns (w/ Data flow) h=fopen .... fclose(h) (h!=0 && h=fopen) .... fclose(h) 21 = fopen(“passwd.txt”, “r”) .... fclose(21) fopen .... fclose 21=fopen .... fclose(21) 21=fopen(, “r”) .... fclose(21)

11. Observations 1. Involve the users early 2. Don’t fear the unconventional 3. Embrace dynamic artifacts • Logs, core dumps, usage profiles, etc. 4. Have a feedback loop involving the users 5. Domain knowledge is a power pellet 6. Questions and answers first, methods later 7. Relevant features and simple methods work really well 8. Quick trumps slow and utility trumps quick 9. Automate (whenever possible) 10.Presentation matters 11.Models are good, simple explanations are better

12. Opportunities • Combining of dynamic and static artifacts/techniques • Time to move beyond repositories • Using data analysis to improve techniques • Exploring/designing language for • Query • Visualization • Scaling • Distributed Computing • GPUs

13. Questions

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