Complete Model-Based Testing Applied to the Railway Domain

Testing is the most important verification technique to assert the correctness of an embedded system. Model-based testing (MBT) is a popular approach that generates test cases from models automatically. For the verification of safety-critical systems, complete MBT strategies are most promising. Complete testing strategies can guarantee that all errors of a certain kind are revealed by the generated test suite, given that the system-under-test fulfils several hypotheses. This work presents a complete testing strategy which is based on equivalence class abstraction. Using this approach, reactive systems, with a potentially infinite input domain but finitely many internal states, can be abstracted to finite-state machines. This allows for the generation of finite test suites providing completeness. However, for a system-under-test, it is hard to prove the validity of the hypotheses which justify the completeness of the applied testing strategy. Therefore, we experimentally evaluate the fault-detection capabilities of our equivalence class testing strategy in this work. We use a novel mutation-analysis strategy which introduces artificial errors to a SystemC model to mimic typical HW/SW integration errors. We provide experimental results that show the adequacy of our approach considering case studies from the railway domain (i.e., a speed-monitoring function and an interlocking-system controller) and from the automotive domain (i.e., an airbag controller). Furthermore, we present extensions to the equivalence class testing strategy. We show that a combination with randomisation and boundary-value selection is able to significantly increase the probability to detect HW/SW integration errors

Automated Generation of Unit Tests from UML Activity Diagrams using the AMPL Interface for Constraint Solvers

I, Felix Kurth, declare that I have authored this thesis independently, that I have not used other than the declared sources / resources, and that I have explicitly marked all material which has been quoted either literally or by content from the used sources. Neither this thesis nor any other similar work has been previously submitted to any examination board

Towards Symbolic Model-Based Mutation Testing: Combining Reachability and Refinement Checking

Model-based mutation testing uses altered test models to derive test cases that are able to reveal whether a modelled fault has been implemented. This requires conformance checking between the original and the mutated model. This paper presents an approach for symbolic conformance checking of action systems, which are well-suited to specify reactive systems. We also consider nondeterminism in our models. Hence, we do not check for equivalence, but for refinement. We encode the transition relation as well as the conformance relation as a constraint satisfaction problem and use a constraint solver in our reachability and refinement checking algorithms. Explicit conformance checking techniques often face state space explosion. First experimental evaluations show that our approach has potential to outperform explicit conformance checkers.Comment: In Proceedings MBT 2012, arXiv:1202.582

Fundamental Approaches to Software Engineering

This open access book constitutes the proceedings of the 25th International Conference on Fundamental Approaches to Software Engineering, FASE 2022, which was held during April 4-5, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 17 regular papers presented in this volume were carefully reviewed and selected from 64 submissions. The proceedings also contain 3 contributions from the Test-Comp Competition. The papers deal with the foundations on which software engineering is built, including topics like software engineering as an engineering discipline, requirements engineering, software architectures, software quality, model-driven development, software processes, software evolution, AI-based software engineering, and the specification, design, and implementation of particular classes of systems, such as (self-)adaptive, collaborative, AI, embedded, distributed, mobile, pervasive, cyber-physical, or service-oriented applications

Quick xing ATL transformations with speculative analysis

Model transformations are central compo- nents of most model-based software projects. While en- suring their correctness is vital to guarantee the quality of the solution, current transformation tools provide lim- ited support to statically detect and x errors. In this way, the identi cation of errors and their correction are nowadays mostly manual activities which incur in high costs. The aim of this work is to improve this situation. Recently, we developed a static analyser that com- bines program analysis and constraint solving to iden- tify errors in ATL model transformations. In this paper, we present a novel method and system that uses our analyser to propose suitable quick xes for ATL transfor- mation errors, notably some non-trivial, transformation- speci c ones. Our approach supports speculative analy- sis to help developers select the most appropriate x by creating a dynamic ranking of xes, reporting on the consequences of applying a quick x, and providing a previsualization of each quick x application. The approach integrates seamlessly with the ATL ed- itor. Moreover, we provide an evaluation based on exist- ing faulty transformations built by a third party, and on automatically generated transformation mutants, which are then corrected with the quick xes of our catalogueWork supported by the Spanish Ministry of Economyand Competitivity (TIN2014-52129-R), the R&D programme of the Madrid Region (S2013/ICE-3006), and the EU commission (FP7-ICT-2013-10, #611125

Fundamental Approaches to Software Engineering

This open access book constitutes the proceedings of the 25th International Conference on Fundamental Approaches to Software Engineering, FASE 2022, which was held during April 4-5, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 17 regular papers presented in this volume were carefully reviewed and selected from 64 submissions. The proceedings also contain 3 contributions from the Test-Comp Competition. The papers deal with the foundations on which software engineering is built, including topics like software engineering as an engineering discipline, requirements engineering, software architectures, software quality, model-driven development, software processes, software evolution, AI-based software engineering, and the specification, design, and implementation of particular classes of systems, such as (self-)adaptive, collaborative, AI, embedded, distributed, mobile, pervasive, cyber-physical, or service-oriented applications

Model-Based Scenario Testing and Model Checking with Applications in the Railway Domain

This thesis introduces Timed Moore Automata, a specification formalism, which extends the classical Moore Automata by adding the concept of abstract timers without concrete delay time values, which can be started and reset, and which can change their state from running to elapsed. The formalism is used in real-world railway domain applications, and algorithms for the automated test data generation and explicit model checking of Timed Moore Automata models are presented. In addition, this thesis deals with test data generation for larger scale test models using standardized modeling formalisms. An existing framework for the automated test data generation is presented, and its underlying work-flow is extended and modified in order to allow user interaction and guidance within the generation process. As opposed to specifying generation constraints for entire test scenarios, the modified work flow then allows for an iterative approach to elaborating and formalizing test generation goals

A Query-based Approach for Verifying UML Class Diagrams with OCL Invariants.

Verifying whether a UML class diagram is consistent involves finding valid instances that provably meet its constraints defined in Object Constraint Language (OCL). Recent studies have shown that many existing tools and techniques not only can find valid instances but also pinpoint the conflicts among the OCL constraints. However, they do not scale well and are often unable to locate the conflicts when the number of OCL constraints significantly increases. In this paper, we present a novel approach that is capable of verifying UML class diagrams with a large number of OCL constraints. Our approach has two distinct features: (1) it provides a query language that allows users to choose parts of a UML class diagram to be verified. (2) a new algorithm that can handle an extreme size of OCL invariants via concurrent verification. We have implemented a new automated tool called: QMaxUSE. The evaluation results suggest that QMaxUSE has the potential to be adapted by industry and offers up to 30x efficiency improvement in verifying UML class diagrams with a large number of OCL constraints

Model Transformation Testing and Debugging: A Survey

Model transformations are the key technique in Model-Driven Engineering (MDE) to manipulate and construct models. As a consequence, the correctness of software systems built with MDE approaches relies mainly on the correctness of model transformations, and thus, detecting and locating bugs in model transformations have been popular research topics in recent years. This surge of work has led to a vast literature on model transformation testing and debugging, which makes it challenging to gain a comprehensive view of the current state of the art. This is an obstacle for newcomers to this topic and MDE practitioners to apply these approaches. This paper presents a survey on testing and debugging model transformations based on the analysis of \nPapers~papers on the topics. We explore the trends, advances, and evolution over the years, bringing together previously disparate streams of work and providing a comprehensive view of these thriving areas. In addition, we present a conceptual framework to understand and categorise the different proposals. Finally, we identify several open research challenges and propose specific action points for the model transformation community.This work is partially supported by the European Commission (FEDER) and Junta de Andalucia under projects APOLO (US-1264651) and EKIPMENT-PLUS (P18-FR-2895), by the Spanish Government (FEDER/Ministerio de Ciencia e Innovación – Agencia Estatal de Investigación) under projects HORATIO (RTI2018-101204-B-C21), COSCA (PGC2018-094905-B-I00) and LOCOSS (PID2020-114615RB-I00), by the Austrian Science Fund (P 28519-N31, P 30525-N31), and by the Austrian Federal Ministry for Digital and Economic Affairs and the National Foundation for Research, Technology and Development (CDG

Diagrammatic Languages and Formal Verification : A Tool-Based Approach

The importance of software correctness has been accentuated as a growing number of safety-critical systems have been developed relying on software operating these systems. One of the more prominent methods targeting the construction of a correct program is formal verification. Formal verification identifies a correct program as a program that satisfies its specification and is free of defects. While in theory formal verification guarantees a correct implementation with respect to the specification, applying formal verification techniques in practice has shown to be difficult and expensive. In response to these challenges, various support methods and tools have been suggested for all phases from program specification to proving the derived verification conditions. This thesis concerns practical verification methods applied to diagrammatic modeling languages. While diagrammatic languages are widely used in communicating system design (e.g., UML) and behavior (e.g., state charts), most formal verification platforms require the specification to be written in a textual specification language or in the mathematical language of an underlying logical framework. One exception is invariant-based programming, in which programs together with their specifications are drawn as invariant diagrams, a type of state transition diagram annotated with intermediate assertions (preconditions, postconditions, invariants). Even though the allowed program states—called situations—are described diagrammatically, the intermediate assertions defining a situation’s meaning in the domain of the program are still written in conventional textual form. To explore the use of diagrams in expressing the intermediate assertions of invariant diagrams, we designed a pictorial language for expressing array properties. We further developed this notation into a diagrammatic domain-specific language (DSL) and implemented it as an extension to the Why3 platform. The DSL supports expression of array properties. The language is based on Reynolds’s interval and partition diagrams and includes a construct for mapping array intervals to logic predicates. Automated verification of a program is attained by generating the verification conditions and proving that they are true. In practice, full proof automation is not possible except for trivial programs and verifying even simple properties can require significant effort both in specification and proof stages. An animation tool which supports run-time evaluation of the program statements and intermediate assertions given any user-defined input can support this process. In particular, an execution trace leading up to a failed assertion constitutes a refutation of a verification condition that requires immediate attention. As an extension to Socos, a verificion tool for invariant diagrams built on top of the PVS proof system, we have developed an execution model where program statements and assertions can be evaluated in a given program state. A program is represented by an abstract datatype encoding the program state, together with a small-step state transition function encoding the evaluation of a single statement. This allows the program’s runtime behavior to be formally inspected during verification. We also implement animation and interactive debugging support for Socos. The thesis also explores visualization of system development in the context of model decomposition in Event-B. Decomposing a software system becomes increasingly critical as the system grows larger, since the workload on the theorem provers must be distributed effectively. Decomposition techniques have been suggested in several verification platforms to split the models into smaller units, each having fewer verification conditions and therefore imposing a lighter load on automatic theorem provers. In this work, we have investigated a refinement-based decomposition technique that makes the development process more resilient to change in specification and allows parallel development of sub-models by a team. As part of the research, we evaluated the technique on a small case study, a simplified version of a landing gear system verification presented by Boniol and Wiels, within the Event-B specification language.Vikten av programvaras korrekthet har accentuerats då ett växande antal säkerhetskritiska system, vilka är beroende av programvaran som styr dessa, har utvecklas. En av de mer framträdande metoderna som riktar in sig på utveckling av korrekt programvara är formell verifiering. Inom formell verifiering avses med ett korrekt program ett program som uppfyller sina specifikationer och som är fritt från defekter. Medan formell verifiering teoretiskt sett kan garantera ett korrekt program med avseende på specifikationerna, har tillämpligheten av formella verifieringsmetod visat sig i praktiken vara svår och dyr. Till svar på dessa utmaningar har ett stort antal olika stödmetoder och automatiseringsverktyg föreslagits för samtliga faser från specifikationen till bevisningen av de härledda korrekthetsvillkoren. Denna avhandling behandlar praktiska verifieringsmetoder applicerade på diagrambaserade modelleringsspråk. Medan diagrambaserade språk ofta används för kommunikation av programvarudesign (t.ex. UML) samt beteende (t.ex. tillståndsdiagram), kräver de flesta verifieringsplattformar att specifikationen kodas medelst ett textuellt specifikationsspåk eller i språket hos det underliggande logiska ramverket. Ett undantag är invariantbaserad programmering, inom vilken ett program tillsammans med dess specifikation ritas upp som sk. invariantdiagram, en typ av tillståndstransitionsdiagram annoterade med mellanliggande logiska villkor (förvillkor, eftervillkor, invarianter). Även om de tillåtna programtillstånden—sk. situationer—beskrivs diagrammatiskt är de logiska predikaten som beskriver en situations betydelse i programmets domän fortfarande skriven på konventionell textuell form. För att vidare undersöka användningen av diagram vid beskrivningen av mellanliggande villkor inom invariantbaserad programming, har vi konstruerat ett bildbaserat språk för villkor över arrayer. Vi har därefter vidareutvecklat detta språk till ett diagrambaserat domän-specifikt språk (domain-specific language, DSL) och implementerat stöd för det i verifieringsplattformen Why3. Språket låter användaren uttrycka egenskaper hos arrayer, och är baserat på Reynolds intevall- och partitionsdiagram samt inbegriper en konstruktion för mappning av array-intervall till logiska predikat. Automatisk verifiering av ett program uppnås genom generering av korrekthetsvillkor och åtföljande bevisning av dessa. I praktiken kan full automatisering av bevis inte uppnås utom för trivial program, och även bevisning av enkla egenskaper kan kräva betydande ansträngningar både vid specifikations- och bevisfaserna. Ett animeringsverktyg som stöder exekvering av såväl programmets satser som mellanliggande villkor för godtycklig användarinput kan vara till hjälp i denna process. Särskilt ett exekveringspår som leder upp till ett falskt mellanliggande villkor utgör ett direkt vederläggande (refutation) av ett bevisvillkor, vilket kräver omedelbar uppmärksamhet från programmeraren. Som ett tillägg till Socos, ett verifieringsverktyg för invariantdiagram baserat på bevissystemet PVS, har vi utvecklat en exekveringsmodell där programmets satser och villkor kan evalueras i ett givet programtillstånd. Ett program representeras av en abstrakt datatyp för programmets tillstånd tillsammans med en small-step transitionsfunktion för evalueringen av en enskild programsats. Detta möjliggör att ett programs exekvering formellt kan analyseras under verifieringen. Vi har också implementerat animation och interaktiv felsökning i Socos. Avhandlingen undersöker också visualisering av systemutveckling i samband med modelluppdelning inom Event-B. Uppdelning av en systemmodell blir allt mer kritisk då ett systemet växer sig större, emedan belastningen på underliggande teorembe visare måste fördelas effektivt. Uppdelningstekniker har föreslagits inom många olika verifieringsplattformar för att dela in modellerna i mindre enheter, så att varje enhet har färre verifieringsvillkor och därmed innebär en mindre belastning på de automatiska teorembevisarna. I detta arbete har vi undersökt en refinement-baserad uppdelningsteknik som gör utvecklingsprocessen mer kapabel att hantera förändringar hos specifikationen och som tillåter parallell utveckling av delmodellerna inom ett team. Som en del av forskningen har vi utvärderat tekniken på en liten fallstudie: en förenklad modell av automationen hos ett landningsställ av Boniol and Wiels, uttryckt i Event-B-specifikationspråket