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Motivations 1. What is (or should be) the essential preoccupation of computer scientists?

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(1)

Improving Systems Quality

— Challenges and Trends —

An Abstract Interpretation Perspective

Patrick COUSOT ´

Ecole Normale Sup´erieure

45 rue d’Ulm, 75230 Paris cedex 05, France

[email protected] www.di.ens.fr/~cousot

Remise de la m´edaille d’argent du CNRS `a Joseph SIFAKIS

Grenoble, France Jeudi 11 avril 2002

⌅J I ⇤

Motivations

1

1 It will be appreciated that the talks are not too technical. Email of J. Sifakis, Sun Mar 31 22:33:11 2002.

What is (or should be) the essential

preoccupation of computer scientists?

The production of reliable software, its

maintenance and safe evolution year

af-ter year (up to 20 even 30 years).

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 2 —[]—⇤ ⇤⇤I c P. Cousot

Computer hardware change of scale

The 25 last years, computer hardware has seen its

perfor-mances multiplied by 104 to 106;

(2)

The information processing revolution

A scale of 106 is typical of a significant revolution:

--Energy: nuclear power station / Roman slave;

--Transportation: distance Earth — Mars / Paris — Nice

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 4 —[]—⇤ ⇤⇤I c P. Cousot

Computer software change of scale

• The size of the programs executed by these computers has

grown up in similar proportions;

• Example 1(modern text editor for the general public): -- > 1 700 000 lines of C 3;

-- 20 000 procedures; -- 400 files;

-- > 15 years of development.

3 full-time reading of the code (35 hours/week) would take at least 3 months!

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 5 —[]—⇤ ⇤⇤I c P. Cousot

Computer software change of scale (cont’d)

• Example 2 (professional computer system):

--

30 000 000 lines of code;

-- 30 000 (known)

bugs

!

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 6 —[]—⇤ ⇤⇤I c P. Cousot

Bugs

• Software bugs

-- whether anticipated (Y2K bug)

-- or unforeseen (failure of the 5.01 flight of Ariane V launcher)

are quite frequent;

• Bugs can be very difficult to discover in huge software;

• Bugs can have catastrophic consequences either very costly or inadmissible (embedded software in trans-portation systems);

(3)

Bugs

• Software bugs

-- whether anticipated (Y2K bug)

-- or unforeseen (failure of the 5.01 flight of Ariane V launcher)

are frequent;

• Bugs can be very difficult to discover in huge software;

Bugs can have catastrophic consequences

either very costly or inadmissible

(embed-ded software in transportation systems);

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 7 —[]—⇤ ⇤⇤I c P. Cousot

The estimated cost of an overflow

• $ 500 000 000

• Including indirect costs (delays, lost markets, etc):

$ 2 000 000 000

Responsibility of computer scientists

• The paradox is that the computer scientists do not assume

anyresponsibilityfor software bugs (compare to the automo-tive or avionic industry);

• Computer software bugs can become an important societal

problem(collective fears and reactions? new legislation?);

=) It is absolutely necessary to widen the full set of

meth-ods and tools used to eliminate software bugs.

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 9 —[]—⇤ ⇤⇤I c P. Cousot

Capability of computer scientists

• The intellectual capability of computer scientists remains

es-sentiallyunchanged year after year;

• The size of programmer teams in charge of software design

and maintenancecannot evolve in such huge proportions; • Classical manualsoftware verification methods(code reviews,

simulations, debugging)do not scale up;

(4)

Capability of computers

• The computing power and memory size of computersdouble

every 18 months;

• So computer aided verification will scale up, scale up, scale up, scale up, scale up,scale up, scale up, scale up, scale up, scale up,

scale up

,

scale up

, . . . ;

• But thesize of programs grows proportionally;

• And correctness proofs are exponential in the program size; • So computers power growth is ultimately not significant. M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 11 —[]—⇤ ⇤⇤I c P. Cousot

Formal Methods

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 12 —[]—⇤ ⇤⇤I c P. Cousot

Computer Systems

Model

Environment

Program

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 13 —[]—⇤ ⇤⇤I c P. Cousot

Formal Methods

Model Environment Program Specification v

(5)

Deductive methods

Specification Model Environment Program v

Why does the proof fails?

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 15 —[]—⇤ ⇤⇤I c P. Cousot

Model Checking

Finitary Model Environment Program Specification v

Static Program Analysis

Abstract Semantics

Environment

Program

Specification

v

Program semantics abstraction

Abstract Specification

Specification abstraction

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 17 —[]—⇤ ⇤⇤I c P. Cousot

General-Purpose Static Program Analyzers

“The first product to automatically detect 100% of run-time errors at Compilation Time

Based on Abstract Interpretation, PolySpace Tech-nologies provides the earliest run-time errors detec-tion soludetec-tion to dramatically reduce testing and de-bugging costs with :

• No Test Case to Write • No Code Instrumentation

• No Change to your Development Process • No Execution of your Application” 4

(6)

Special-Purpose Static Program Analyzers

“The underlying theory of abstract inter-pretation provides the relation to the pro-gramming language semantics, thus en-abling the systematic derivation of prov-ably correct and terminating analyses.” 5

5http://www.absint.com/pag/

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 19 —[]—⇤ ⇤⇤I c P. Cousot

Deductive methods

Model-checking

Static analysis

Abstract

Interpretation

I will try to explain why tomorrow morning!

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 20 —[]—⇤ ⇤⇤I c P. Cousot

Challenges

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 21 —[]—⇤ ⇤⇤I c P. Cousot

Challenges for abstract interpretation

• Semantics of programming

languages;

• Separate analysis (modules and libraries); • Expressive non-numerical abstract domains; • Liveness properties; • Probabilistic properties; • Automatic combination of abstractions; • Automatic determination of the origin of the loss of pre-cision;

• User interaction for refine-ment;

• Decomposition of complex properties;

• Proving the correctness of static analysers;

• . . .

All fascinating problems you are probably not interested in!

(7)

Societal challenge

• The correctness of computerized systems is essential to mod-ern societies;

• This is hard to explain to the public and politicians;

• We should be able to popularize computer science (including formal methods)!

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 23 —[]—⇤ ⇤⇤I c P. Cousot

Research management challenge

• The development of new fundamental ideas requires 5 to 10 years;

• This timing is hardly compatible with the current short term management of research:

-- short thesis (2-3 years),

-- short projects (2 years) on technocratically selected themes, -- high publication rate (> 3 per year);

• More flexible and liberal research management schemes are required!

Industrialization challenge

• Transfer to industry is required, tighter interaction through tools is a good way;

• The development cost of a high-quality academic prototype must be multiplied by 10 to 20 for a pre-industrialization;

• An e↵ective support for industrialization of research is highly needed;

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 25 —[]—⇤ ⇤⇤I c P. Cousot

Educational challenge

• High-quality computer scientists are missing;

• We cannot attract students by teaching myriads of micro-techniques and partial results;

(8)

Scientific challenge

• The computer industry has finally or will shortly understand that quality is a definite problem;

• We are faced with fundamental complexity limitations which cannot be solved by multiplying experiments in the small;

• The only way to think in the large is by divide and conquer!

M´edaille d’argent du CNRSdeJoseph SIFAKIS Jeudi 11 avril 2002 J — 27 —[]—⇤ ⇤⇤I c P. Cousot

THE END, THANK YOU

Congratulations to Joseph

References

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