Top Banner
1 Software Safety and Halstead’s Software Science (Lecture 16) Dr. R. Mall
78

Rajib Mall Lecture Notes

Apr 16, 2015

Download

Documents

Anuj Nagpal

Rajib Mall Lecture Notes
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Rajib Mall Lecture Notes

1

Software Safety and Halstead’s Software Science (Lecture 16)

Dr. R. Mall

Page 2: Rajib Mall Lecture Notes

2

Organization of this Lecture:

Software safety: General concepts Fault avoidance Fault detection Fault-tolerance

Halstead’s software scienceSummary

Page 3: Rajib Mall Lecture Notes

3

Fault-tolerance concepts

Fail safe: design the system so that when it sustains a specified faultit fails in a safe mode

railway signalling systems are designed to be fail safe so that all trains stop.

Page 4: Rajib Mall Lecture Notes

4

Fault-tolerance concepts

Fail stop: when the system sustains specified faults:provides a subset of its required behavior

Page 5: Rajib Mall Lecture Notes

5

Software safety

Higher reliability through 3 complementary strategies: fault avoidance:

design time fault tolerance:

execution time fault detection:

implementation and testing time

Page 6: Rajib Mall Lecture Notes

6

Fault detection

Faults are detected before software put to operation. Verification validation

static dynamic

Page 7: Rajib Mall Lecture Notes

7

Fault avoidance

Fault avoidance relies on several schemes. appropriately tune

design and implementation process.

Page 8: Rajib Mall Lecture Notes

8

Fault avoidance

Precise (and preferably formal) specification

Adoption of quality principlesAdoption of a design strategy based

on information hidingUse of a strongly typed

programming languageRestriction on error-prone

programming constructs such as pointers.

Page 9: Rajib Mall Lecture Notes

9

Fault tolerance

Assumes some residual faults remain. Facilities are provided in software to allow operation to proceed even when faults surface.

Page 10: Rajib Mall Lecture Notes

10

Strongly typed languages

Strongly typed languages: can detect many of the faults at

compile time.If low level programming with

limited type checking is used. Fault free software production is

virtually impossible.

Page 11: Rajib Mall Lecture Notes

11

Fault-tolerance

Consists of several aspects: fault detection fault diagnosis damage assessment and containment

fault recovery fault repair

Page 12: Rajib Mall Lecture Notes

12

Fault detection

The system must detect: a particular state combination has resulted or will result in system failure.

The process of determining that a fault has occurred.

Page 13: Rajib Mall Lecture Notes

13

Fault diagnosisThe process of determining what caused the fault: i.e. exactly which subsystem or component is faulty.

Page 14: Rajib Mall Lecture Notes

14

Damage assessment and containmentDetect parts of system:

affected by failure.Prevent propagation of

faults.

Page 15: Rajib Mall Lecture Notes

15

Fault recovery

The system must restore its state to a known safe state.

Two options available: correct the damaged state

(forward error recovery) restore the system to a known safe

state (backward error recovery)

Page 16: Rajib Mall Lecture Notes

16

Fault recovery

Forward error recovery is more complex: involves diagnosing faults:

knowing in what state the system should have been: •had the system not failed.

Page 17: Rajib Mall Lecture Notes

17

Fault repair

Involves modifying the system: In many cases, software failures

are transient:occur due to peculiar combination

of system inputsno repair is necessary as normal

processing can continue immediately after fault recovery.

Page 18: Rajib Mall Lecture Notes

18

Hardware fault tolerance

Most commonly used hardware fault-tolerance technique: triple modular redundancy (TMR)

Page 19: Rajib Mall Lecture Notes

19

Triple modular redundancy (TMR)

Module 1

Module 2

Module 3

VotingAgreedresultInput

Result 3

Result 1

Page 20: Rajib Mall Lecture Notes

20

Triple modular redundancy

Hardware module is replicated three times: output from each unit is compared

voting is used to determine the correct result.

Page 21: Rajib Mall Lecture Notes

21

Software fault-tolerance

N-version programmingRecovery blocks

Page 22: Rajib Mall Lecture Notes

22

N-version programming

Different versions of the software implemented by different teams

executed in parallel outputs compared using a voting system:inconsistent outputs are rejected.

Page 23: Rajib Mall Lecture Notes

23

N-version programming

Version 1

Version 2

Version n

Output comparator

Agreedresult

Input

Result n

Result 1

Page 24: Rajib Mall Lecture Notes

24

N-version programming

At least three versions of the software should be available

The basic assumption: versions developed by different engineers would not have similar errors.

Page 25: Rajib Mall Lecture Notes

25

Recovery blocks

A fine grain approachEach program component

includes an acceptance test:

checks if it executed successfully.Acceptance tests cannot determine

what has gone wrong The program components are called

try blocks or recovery blocks.

Page 26: Rajib Mall Lecture Notes

26

Recovery blocks

Include alternative code: system can backup and execute alternative code

recovery blocks can be cascaded multiple alternatives can be tried when an alternate result also fails acceptance test.

Page 27: Rajib Mall Lecture Notes

27

Recovery blocks

Algorithm 1

Algorithm 2 Algorithm 1

Acceptance test

retry

test

retrytesttest

result

Page 28: Rajib Mall Lecture Notes

28

Comparison of n-version programming and recovery block

Unlike n-version programming alternative code is different

rather than independent Also alternative is executed in

sequence rather than parallelBoth suffer from common mode

failure.

Page 29: Rajib Mall Lecture Notes

29

Exception handling

An exception is an error or an unexpected event

When an exception has not been anticipated: control is transferred to the system exception handling mechanism

Page 30: Rajib Mall Lecture Notes

30

Exception handling

Many programming languages do not have facility: to detect and handle exceptions.

Languages which support exception handling: Ada, C++, Java

Page 31: Rajib Mall Lecture Notes

31

Fault detection and damage assessmentThe techniques to be used are

dependent on the application and system state: use of checksums in data exchange

and check digits in numeric data use of redundant links in data

structures which contain pointers use of watchdog timers in concurrent

systems.

Page 32: Rajib Mall Lecture Notes

32

Checksums

Checksum value computed: by applying some mathematical function to the data.

The function should give unique value for the data.

Page 33: Rajib Mall Lecture Notes

33

Checksums

Sender computes the checksum: sends the data with the checksum value

receiver computes the checksum again

if the two checksum values differ, the receiver knows that some data have been corrupted.

Page 34: Rajib Mall Lecture Notes

34

Watchdog timers

Used when a function must complete within a specific time period.

Watchdog timer is a timer: must be reset by the function after it

completes execution. may be interrogated by a controller at

regular intervals if for some reason,

the function does not terminate, the watchdog timer is not reset.

Page 35: Rajib Mall Lecture Notes

35

Fault recovery

Modify system configuration so that system can continue operationperhaps in some degraded formforward recoverybackward recovery

Page 36: Rajib Mall Lecture Notes

36

Forward recovery

Correct damaged system state use redundant information with Data corruption: Use coding

technique which add redundant information

Corruption of linked structures: include redundant pointers, e.g both forward and backward pointers.

Page 37: Rajib Mall Lecture Notes

37

Backward error recovery

Restores system state to a known safe state. Simpler technique than forward error recovery.

most database systems include backward error recovery.

Page 38: Rajib Mall Lecture Notes

38

Example backward recovery

Computations for a specific user request is known as a transaction. Changes made during a transaction

are not immediately incorporated changes made only after all

computations involved in the transaction finish successfully.

Page 39: Rajib Mall Lecture Notes

39

Checkpointing

Transactions allow error recovery because they do not commit

changes to the database until they are completed.

However, they do not allow recovery from system states that are valid but incorrect.

Checkpointing can be used.

Page 40: Rajib Mall Lecture Notes

40

Checkpointing

The system state is duplicated periodically.

When a problem is discovered correct state can be recovered.

Page 41: Rajib Mall Lecture Notes

41

Safety life cycle

Hazard: A condition with the potential for causing or contributing to a mishap.

e.g, A failure of the sensor which detects an obstacle in front of a machine

Page 42: Rajib Mall Lecture Notes

42

Hazard Analysis

Analyze the system and its environment detect causes of hazards.

Hazard analysis is difficult because many hazards are extremely rare.

Page 43: Rajib Mall Lecture Notes

43

Fault-tree analysisFor each identified hazard:

a detailed analysis is carried out to discover the conditions which might cause the hazard.

Fault-tree analysis involves identifying the undesired event working backwards from the event

to discover the possible causes.

Page 44: Rajib Mall Lecture Notes

44

Fault-tree analysis

The hazard is at the root of the tree: leaves represent potential causes of hazards.

Page 45: Rajib Mall Lecture Notes

45

Halstead's Software Science

An analytical technique to measure: size, development effort, and development time.

Page 46: Rajib Mall Lecture Notes

46

Halstead's Software Science

Halstead used primitive program parameters: developed expressions for:

over all program length, potential minimum volume, actual volume, language level, effort, development time.

Page 47: Rajib Mall Lecture Notes

47

Halstead's Software Science

(CONT.)

For some given program, let:

1 be the number of unique operators used in the program,

2 be the number of unique operands used in the program,

N1 be the total number of operators used in the program,

N2 be the total number of operands used in the program.

Page 48: Rajib Mall Lecture Notes

48

Halstead's Software Science

(CONT.)

The terms operators and operands have intuitive meanings, a precise definition of these terms is

needed to avoid ambiguities. Unfortunately there is no general

agreement among researchers on definition of operators and

operands:

Page 49: Rajib Mall Lecture Notes

49

OperatorsSome general guidelines can be

provided: All assignment, arithmetic, and logical

operators are operators. A pair of parentheses,

as well as a block begin --- block end pair, are considered as single operators.

A label is considered to be an operator, if it is used as the target of a GOTO

statement.

Page 50: Rajib Mall Lecture Notes

50

OperatorsAn if ... then ... else ... endif and a while

... do construct are single operators. A sequence (statement termination)

operator ';' is a single operator. function call

Function name is an operator, I/O parameters are considered as

operands.

Page 51: Rajib Mall Lecture Notes

51

Halstead's Software Science

(CONT.)

The set of operators and operands for the ANSI C language:() [] . , -> * + - ~ ! ++ -- * / % + - << >> < > <= >= != == & ^ | && || = *= /= %= += -= <<= >>= &= ^= |= : ? { ; CASE DEFAULT IF ELSE SWITCH WHILE DO FOR GOTO CONTINUE BREAK RETURN and a function name in a function call

Page 52: Rajib Mall Lecture Notes

52

Halstead's Software Science

(CONT.)

Operands are those variables and constants which are being used with operators in

expressions.Note that variable names appearing

in declarations are not considered as operands.

Page 53: Rajib Mall Lecture Notes

53

Examples:

In the expression a = &b; {a, b} are operators and { =, &} are operands.

Page 54: Rajib Mall Lecture Notes

54

Examples:

The function name in a function definition not counted as an operator. int func ( int a, int b )

{ . . .}the operators are: {}, ( )We do not consider func, a, and b as

operands.

Page 55: Rajib Mall Lecture Notes

55

Examples (CONT.):

In the function call statement: func ( a, b ); {func ( ) ;} are considered as a operator

variables a, b are treated as operands.

Page 56: Rajib Mall Lecture Notes

56

Length and Vocabulary

Length of a program quantifies total usage of all operators and

operands in the program: Thus, length N=N1+N2.

Program vocabulary: number of unique operators and

operands used in the program.

program vocabulary = 1 + 2 .

Page 57: Rajib Mall Lecture Notes

57

Program Volume:

The length of a program: total number of operators and

operands used in the code depends on the choice of the

operators and operands, i.e. for the same program, the

length depends on the style of programming.

Page 58: Rajib Mall Lecture Notes

58

Program Volume:

We can have highly different measures of length for essentially the same problem.

To avoid this kind of problem, the notion of program volume V is

introduced:

V= N log2

Page 59: Rajib Mall Lecture Notes

59

Potential Minimum Volume:

Intuitively, program volume V denotes minimum number of bits needed to

encode the program.

To represent different identifiers,

we need at least log2 bits ( is the program vocabulary)

Page 60: Rajib Mall Lecture Notes

60

Potential Minimum Volume:

The potential minimum volume V*: volume of the most succinct program in which the program can be coded.

Page 61: Rajib Mall Lecture Notes

61

Potential Minimum Volume:

Minimum volume is obtained : when the program can be expressed using a single source code instruction:say a function call like foo().

Page 62: Rajib Mall Lecture Notes

62

Potential Minimum Volume

(CONT.):Lower bound on volume:

a program would have at least two operators

and no less than the requisite number of operands (i.e. input/output data items).

Page 63: Rajib Mall Lecture Notes

63

Potential Minimum Volume:

If an algorithm operates on input/output data d1, d2,... dn, the most succinct program is

f(d1,d2, ...,dn);

for which 1 = 2, 2 =n

Therefore, V*=(2+ 2) log2(2+ 2)

Page 64: Rajib Mall Lecture Notes

64

Potential Minimum Volume:

The program level L is given by L=V*/V.

L is a measure of the level of abstraction: languages can be ranked into

levels that appear intuitively correct.

Page 65: Rajib Mall Lecture Notes

65

Effort and Time:

Effort E=V/L, where E is the number of mental

discriminations required to write the program

also the effort required to read and understand the program.

Page 66: Rajib Mall Lecture Notes

66

Effort and Time:

Thus, programming effort E = V2/V* since L= V*/V varies as the

square of the volume. Experience shows

E is well correlated to the effort needed for maintenance.

Page 67: Rajib Mall Lecture Notes

67

Effort and Time:

The programmer's time T=E/S, where S is the speed of mental

discriminations developed from psychological results due to Stroud,

the recommended value for software is 18.

Page 68: Rajib Mall Lecture Notes

68

Length Estimation:

Halstead assumed that it is quite unlikely that a program has several identical parts --- or substrings of length greater than

( being the program vocabulary).

Page 69: Rajib Mall Lecture Notes

69

Length Estimation:In fact, once a piece of code occurs

identically in several places, it is usually made into a procedure or

a function. Thus, we can safely assume:

any program of length N consists of

N/ ) unique strings of length .

Page 70: Rajib Mall Lecture Notes

70

Length Estimation (CONT.):

It is a standard combinatorial result that for any given alphabet of size K, there are exactly Kr different

strings of length r.

Thus, N/ <

Or, N < +1

Page 71: Rajib Mall Lecture Notes

71

Length Estimation:

Since operators and operands usually alternate in a program, we can further refine the upper bound into

N < (1)

1 (2)

2 .

Page 72: Rajib Mall Lecture Notes

72

Length Estimation (CONT.):

Also, N must include not only the ordered set of N elements, but it must also include all possible subsets of that ordered set,

i.e. the power set of N strings.

Therefore, 2N= (1)

1 (2)

2 .

Page 73: Rajib Mall Lecture Notes

73

Length Estimation:

N=log2((1)

1 (2)

2 ) (approximately)

Or, N=log2 (1)

1 + log2 (2)

2

= 1 log2 1 + 2 log2 2

Experimental analysis of large number of programs suggests: computed and actual lengths match

very closely.

Page 74: Rajib Mall Lecture Notes

74

Example:

main() { int a,b,c,avg; scanf("%d %d %d",&a,&b,&c); avg=(a+b+c)/3; printf("avg= %d",avg); }

Page 75: Rajib Mall Lecture Notes

75

Example:

The unique operators are: main, (), \{\}, int, scanf, \&, ",", ";", =, +, /, printf

The unique operands are: a,b,c,\&a,\&b,\&c,a+b+c,avg,3,"\%d \%d \%d", "avg=\%d”

Page 76: Rajib Mall Lecture Notes

76

Example (CONT.):

Therefore 1=12, 2=11Estimated Length=(12*log12+11*log11) =(12*3.58 + 11*3.45) =(43+38)=81 Volume=Length*log(23)=81*4.52=366

Page 77: Rajib Mall Lecture Notes

77

SummaryHigh reliability achieved

through 3 complementary strategies: fault avoidance fault tolerance fault detection

Fault tolerance: n-version programming recovery blocks

Page 78: Rajib Mall Lecture Notes

78

SummaryHalstead’s software science

analytical method. Lets us determine:

lengthvolumeefforttime