Testability Measures

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Transcript Testability Measures

Digital Testing:
Testability Measures
3/29/2016
Based on text by S. Mourad
"Priciples of Electronic Systems"
Outline
The case for DFT
Testability Measures
Controllability and observability
SCOAP measures
• Combinational circuits
• Sequential circuits
Adhoc techniques
Easily testable structures
C-testability
Fab. 2, 2001
Copyrights(c) 2001, Samiha Mourad
2
What is Design for Test ?
Also called design for testability
That is design to facilitate testing
No formal definition for testability
Possible definition, testability increases as the
cost and time of testing decreases
The Case for DFT
High device density
Large number of gates per pin
• see next chart
High cost of ATPG particularly for sequential
circuits
Need for a shorter design & test cycle
• shorter-time-to-market
Complexity: Gates per Pin
Testing complexity index,
in thousands of transitors per pin
800
700
600
500
400
300
200
100
0
0.25 0.18 0.13 0.1 0.07 0.05
1997 1999 2002 2005 2008 2011
Feature size, m
0.035
2014
Attempt to Assess Testability
Test pattern generation requires:
controlling a point in the circuit from the primary inputs
observing the results at primary output
Assessing the controllability of this point and its
observability can be helpful in determining the
ease or difficulty of its “testability”
Hence the notion of Testability Measures (TM)
Testability Analysis
 Determines testability measures

Involves Circuit Topological analysis, but
no
test vectors (static analysis) and no search algorithm.
Linear computational complexity
 Otherwise, is pointless – might as well use
automatic test-pattern generation and calculate:
 Exact fault coverage
 Exact test vectors
What are Testability Measures?
Approximate measures of:
Difficulty of setting internal circuit lines to 0 or 1
from primary inputs.
Difficulty of observing internal circuit lines at
primary outputs.
Applications:
Analysis of difficulty of testing internal circuit
parts – redesign or add special test hardware.
Guidance for algorithms computing test patterns –
avoid using hard-to-control lines.
SCOAP Measures




SCOAP – Sandia Controllability and Observability Analysis Program
Combinational measures:
 CC0 – Difficulty of setting circuit line to logic 0
 CC1 – Difficulty of setting circuit line to logic 1
 CO – Difficulty of observing a circuit line
Sequential measures – analogous:
 SC0
 SC1
 SO
Ref.: L. H. Goldstein, “Controllability/Observability Analysis of
Digital Circuits,” IEEE Trans. CAS, vol. CAS-26, no. 9. pp. 685 – 693,
Sep. 1979.
Range of SCOAP Measures
 Controllabilities – 1 (easiest) to infinity (hardest)
 Observabilities – 0 (easiest) to infinity (hardest)
 Combinational measures:
Roughly proportional to number of circuit lines that
must be set to control or observe given line.
 Sequential measures:
Roughly proportional to number of times flip-flops
must be clocked to control or observe given line.
Combinational Controllability
Controllability Formulas (Cont.)
Combinational Observability
To observe a gate input: Observe output and make other input
values non-controlling.
Observability Formulas (Cont.)
Fanout stem: Observe through branch with
best observability.
An Example
F
G1
G4
A
Y
H
G2
B
C
G3
G5
G
Z
An Example
Assume that controllability of
all inputs and observability of all
outputs is 1
F
G1
G4
A
Y
H
G2
B
C
Controllabilities
CC1(F)=CC1(A)+CC1(B)+CC1( C)+1=4
CC0(F)=min{CC0(A),CC0(B),CC0( C)}+1=2
CC1(H)=min{CC0(A),CC0(B)}+1=2
CC0(H)=CC1(A)+CC1(B)+1=3
CC1(G)=CC0( C)+1=2
CC0(G)=CC1( C)+1=2
CC1(Y)=min{CC1(F),CC1(H)}+1=3
CC0(Y)=CC0(F)+CC0(H)+1=6
CC1(Z)=min{CC0(H),CC0(G)}+1=3
CC0(Z)=CC1(H)+CC1(G)+1=5
G3
G5
G
Observabilities
COY(F)=CO(Y)+CCO(H)+1=5
COZ(G)=CO(Z)+CC1(H)+1=4
COY(H)=CO(Y)+CCO(F)+1=4
e.t.c.
Z
Comb. Controllability
Circled numbers give level number. (CC0, CC1)
Controllability Through Level 2
Final Combinational Controllability
Combinational Observability for
Level 1
Number in square box is level from primary outputs (POs).
(CC0, CC1) CO
Combinational Observability for
Level 2
Final Combinational Observability
Sequential Measures
 Combinational
 Increment CC0, CC1, CO whenever you pass through
a gate, either forward or backward.
 Sequential
 Increment SC0, SC1, SO only when you pass through
a flip-flop, either forward or backward.
 Both
 Must iterate on feedback loops until controllabilities
stabilize.
D Flip-Flop Equations
 Assume a synchronous RESET line.
 CC1 (Q) = CC1 (D) + CC1 (C) + CC0 (C) + CC0 (RESET)
 SC1 (Q) = SC1 (D) + SC1 (C) + SC0 (C) + SC0 (RESET) + 1
 CC0 (Q) = min [CC1 (RESET) + CC1 (C) + CC0 (C),
CC0 (D) + CC1 (C) + CC0 (C)]
 SC0 (Q) is analogous
 CO (D) = CO (Q) + CC1 (C) + CC0 (C) + CC0 (RESET)
 SO (D) is analogous
D Flip-Flop Clock and Reset





CO (RESET) = CO (Q) + CC1 (Q) + CC1 (RESET) +
CC1 (C) + CC0 (C)
SO (RESET) is analogous
Three ways to observe the clock line:
1. Set Q to 1 and clock in a 0 from D
2. Set the flip-flop and then reset it
3. Reset the flip-flop and clock in a 1 from D
CO (C) = min [ CO (Q) + CC1 (Q) + CC0 (D) +
CC1 (C) + CC0 (C),
CO (Q) + CC1 (Q) + CC1 (RESET) +
CC1 (C) + CC0 (C),
CO (Q) + CC0 (Q) + CC0 (RESET) +
CC1 (D) + CC1 (C) + CC0 (C)]
SO (C) is analogous
Testability Computation
1. For all PIs, CC0 = CC1 = 1 and SC0 = SC1 = 0
2. For all other nodes, CC0 = CC1 = SC0 = SC1 = ∞
3. Go from PIs to POs, using CC and SC equations to get
4.
5.
6.
7.
controllabilities -- Iterate on loops until SC stabilizes -convergence is guaranteed.
Set CO = SO = 0 for POs, ∞ for all other lines.
Work from POs to PIs, Use CO, SO, and controllabilities
to get observabilities.
Fanout stem (CO, SO) = min branch (CO, SO)
If a CC or SC (CO or SO) is ∞ , that node is
uncontrollable (unobservable).
Sequential Example Initialization
Numbers in brackets represent (CC0, CC1) and [SS0, SS1]
Circled numbers give level number. (CC0, CC1)
After 1 Iteration
After 2 Iterations
After 3 Iterations
Stable Sequential Measures
Final Sequential Observabilities
Boldface numbers represent CO and SO
Testability Measures are Not Exact
Exact computation of measures is NP-Complete and
impractical
Blue (Italicized) measures show correct (exact) values –
SCOAP measures are in orange -- CC0,CC1 (CO)
1,1(6)
1,1(5,∞)
2,3(4)
2,3(4,∞)
(6)
1,1(5)
1,1(4,6) (6)
1,1(6)
1,1(5,∞)
(5)
(4,6)
2,3(4)
2,3(4,∞)
6,2(0)
4,2(0)
Summary
Testability measures are approximate measures of:
Difficulty of setting circuit lines to 0 or 1
Difficulty of observing internal circuit lines
Applications:
Analysis of difficulty of testing internal circuit parts
• Redesign circuit hardware or add special test
hardware where measures show poor controllability
or observability.
Guidance for algorithms computing test patterns –
avoid using hard-to-control lines
Test Points
Test points insertion improves observability and controllability
OP
W
P
P
U
U
W
(a)
(b)
P
P
W
CP
U
W
U
CP1
CP2
(c)
(d)
CAD Tools
All aspect of ASIC design and test depends on
CAD tools
CAD programs perform different tasks:
Design entry, Simulation, Synthesis, layout, Test pattern
generation, Fault grading, Floor planning, Technology
mapping, Place and route, DRC, LVS, Parameter extraction
Most these problems are NP-complete
There is a need for algorithms that utilize
some heuristic and a cost function to
stop the computation.
Logic and Physical Design
Specs
Behavioral HDL
Simulation
Synthesis
Logic
Simulation
Electrical
Rule
Checker
Static Timing
Analysis
Models
Netlist
ATPG
P&R
Models
Fault
Grading
Back-annotation
Mask
Models