This document describes a test generation tool for specifications in the form of state machines. The tool automatically generates test cases from finite state machine (FSM) specifications. It uses transition identification approaches like preambles, postambles, transition coverage, and state identification sequences to derive tests. Experiments show that the tool can generate tests for FSMs with up to 200 states and 40,000 transitions within reasonable time frames.
This document provides an overview of different types of statements and flow control constructs in C++ programming. It discusses sequential, selection, and iteration statements. Selection statements covered include if, if-else, switch, and ternary operator. Iteration statements discussed are for, while, do-while, and nested loops. Jump statements like break, continue, goto, and exit function are also summarized. Examples are provided for most constructs to illustrate their usage.
Std 12 computer java basics part 3 control structureNuzhat Memon
Std 12 Computer Chapter 7 Java Basics (Part 3) by Nuzhat Memon
Block in java
Control structures in java
Branches in java
if statement
switch statement
loops in java
for loop
while loop
do while loop
break statement and continue statement
gseb computer paper solution 2020 english medium
The document discusses various types of white box or structural testing techniques including statement coverage, branch coverage, basic condition coverage, and modified condition/decision coverage. It provides examples of how to evaluate test suites based on these coverage criteria by considering the control flow and conditions in a sample program. The goal of white box testing is to systematically cover the structure of the source code to increase the likelihood of revealing faults.
The document discusses two main ways for a thread to know when another thread has finished:
1. Calling isAlive() on the thread, which returns true if the thread is still running and false if not.
2. Using join(), which waits for the specified thread to terminate before continuing. Additional forms of join() allow specifying a maximum wait time.
The example code starts three threads and uses join() in the main thread to wait for the child threads to finish before exiting, ensuring the main thread finishes last. Without join(), the main thread could exit before the child threads.
The document covers key concepts in Java expressions and flow control including:
- Distinguishing between instance and local variables and how instance variables are initialized
- Recognizing and correcting reference before assignment compiler errors
- Using operators and ensuring legal assignments of primitive types
- Applying boolean expressions in control constructs like if, switch, for, while, and do statements
- Leveraging the instanceof operator to test an object's class at runtime
- Understanding the differences between the basic for loop and enhanced for loop syntax
This document discusses different types of control structures in programming languages. It covers selection statements like if/else that allow different code paths based on conditions, and iterative statements like for loops and while loops that allow repeating blocks of code. It also discusses unconditional branching with goto statements. Examples are provided of these structures in languages like C, C++, Java, and Pascal. The role of preconditions and postconditions in specifying and proving the correctness of programs is also overviewed.
Bounded model checking encodes executions of a system up to a bounded length k as a propositional formula along with a property violation. If the formula is satisfiable, a counterexample is found; if unsatisfiable, no counterexample up to length k exists. The technique leverages efficient SAT solvers but is incomplete. Modern SAT solvers use conflict-driven learning and backtracking based on the Davis-Putnam-Logemann-Loveland algorithm to efficiently solve the propositional formulas generated by bounded model checking.
This document provides an overview of different types of statements and flow control constructs in C++ programming. It discusses sequential, selection, and iteration statements. Selection statements covered include if, if-else, switch, and ternary operator. Iteration statements discussed are for, while, do-while, and nested loops. Jump statements like break, continue, goto, and exit function are also summarized. Examples are provided for most constructs to illustrate their usage.
Std 12 computer java basics part 3 control structureNuzhat Memon
Std 12 Computer Chapter 7 Java Basics (Part 3) by Nuzhat Memon
Block in java
Control structures in java
Branches in java
if statement
switch statement
loops in java
for loop
while loop
do while loop
break statement and continue statement
gseb computer paper solution 2020 english medium
The document discusses various types of white box or structural testing techniques including statement coverage, branch coverage, basic condition coverage, and modified condition/decision coverage. It provides examples of how to evaluate test suites based on these coverage criteria by considering the control flow and conditions in a sample program. The goal of white box testing is to systematically cover the structure of the source code to increase the likelihood of revealing faults.
The document discusses two main ways for a thread to know when another thread has finished:
1. Calling isAlive() on the thread, which returns true if the thread is still running and false if not.
2. Using join(), which waits for the specified thread to terminate before continuing. Additional forms of join() allow specifying a maximum wait time.
The example code starts three threads and uses join() in the main thread to wait for the child threads to finish before exiting, ensuring the main thread finishes last. Without join(), the main thread could exit before the child threads.
The document covers key concepts in Java expressions and flow control including:
- Distinguishing between instance and local variables and how instance variables are initialized
- Recognizing and correcting reference before assignment compiler errors
- Using operators and ensuring legal assignments of primitive types
- Applying boolean expressions in control constructs like if, switch, for, while, and do statements
- Leveraging the instanceof operator to test an object's class at runtime
- Understanding the differences between the basic for loop and enhanced for loop syntax
This document discusses different types of control structures in programming languages. It covers selection statements like if/else that allow different code paths based on conditions, and iterative statements like for loops and while loops that allow repeating blocks of code. It also discusses unconditional branching with goto statements. Examples are provided of these structures in languages like C, C++, Java, and Pascal. The role of preconditions and postconditions in specifying and proving the correctness of programs is also overviewed.
Bounded model checking encodes executions of a system up to a bounded length k as a propositional formula along with a property violation. If the formula is satisfiable, a counterexample is found; if unsatisfiable, no counterexample up to length k exists. The technique leverages efficient SAT solvers but is incomplete. Modern SAT solvers use conflict-driven learning and backtracking based on the Davis-Putnam-Logemann-Loveland algorithm to efficiently solve the propositional formulas generated by bounded model checking.
PSYC 3663 SAFMEDS TERMS – Assignment 1Provide a definition for e.docxamrit47
The document defines 30 terms related to concepts in behavior analysis. It provides definitions for the following terms: functional relation, applied, generality, conceptually systematic, explanatory fiction, behaviour, environment, stimulus, interresponse time, momentary time sampling, whole-interval recording, partial-interval recording, baseline, positive reinforcement, negative reinforcement, motivating operation, stimulus control, Premack principle, reinforcer assessment, unconditioned reinforcer, conditioned reinforcer, automatic reinforcement, discriminative stimulus (SD), noncontingent reinforcement, high-probability request sequence, extinction, extinction burst, spontaneous recovery, and differential reinforcement. The document instructs the reader to provide definitions for each of the 30 terms.
This lab aims to implement a frequency offset correction algorithm called Moose and a frame detection method using correlation. Students will study the performance of these algorithms by incorporating them in a receiver synchronization block. The lab covers the Moose algorithm, sliding correlation algorithm and procedures to test them over a real wireless link between a USRP transmitter and receiver. Students are asked questions about the impact of frequency offsets, properties of training sequences, and challenges faced in implementing the systems.
This document discusses algorithms, pseudocode, and flowcharts. It defines an algorithm as a set of unambiguous and computable steps to solve a problem. The document outlines common programming structures like sequence, selection, and repetition. It provides examples of pseudocode and flowchart notation. Pseudocode uses natural language to describe algorithm logic while avoiding specific programming elements. Flowcharts use graphical symbols connected by arrows to depict program or algorithm flow.
Verilog is a hardware description language used to model electronic systems. Some key features include:
- It allows design at different levels of abstraction from logic gates to register transfer level.
- It supports both synthesis for implementation on FPGAs and ASICs as well as simulation to verify designs.
- It provides constructs like if/else statements, case statements, always blocks and for loops to describe hardware behavior.
- User-defined primitives and system tasks like $display and $monitor aid in debugging and testing designs.
MODEL OF A PROGRAM AS MULTITHREADED STOCHASTIC AUTOMATON AND ITS EQUIVALENT T...Sergey Staroletov
The document discusses modeling a program as a multi-threaded stochastic automaton and its equivalent transformation to a PROMELA model. It describes representing the program states, transitions, and operations as a mathematical abstraction called a finite automaton. The model can be extended to include additional features like events, messaging, threading and resource blocking to more accurately model modern software systems at a low level of abstraction. The model and its object-oriented implementation in Java are presented, along with the ability to describe it as an XML file for graphical representation and code generation. Abstract state machines are also briefly discussed as another formal modeling technique.
- The document details a state space solver approach for analog mixed-signal simulations using SystemC. It models analog circuits as sets of linear differential equations and solves them using the Runge-Kutta method of numerical integration.
- Two examples are provided: a digital voltage regulator simulation and a digital phase locked loop simulation. Both analog circuits are modeled in state space and simulated alongside a digital design to verify mixed-signal behavior.
- The state space approach allows modeling analog circuits without transistor-level details, improving simulation speed over traditional mixed-mode simulations while still capturing system-level behavior.
This document summarizes a formal analysis of the TESLA authentication protocol using the Timed OTS/CafeOBJ method. It provides an overview of the modeling and verification process, including:
1) Modeling the protocol, messages, and network as a timed observational transition system (TOTS) in the CafeOBJ algebraic specification language.
2) Formally specifying security properties to verify, such as an invariant that the receiver only accepts authentic messages from the actual sender.
3) Outlining the verification procedure using induction, lemmas, and proof scores executed with the CafeOBJ system.
This document discusses control structures in Java programming. It describes two types of control structures: branching structures and looping structures. Branching structures like if-else and switch statements allow modifying the flow of a program based on certain conditions. Looping structures like while, for, and do-while loops allow repeating blocks of code. Specific looping structures like nested loops, labeled loops, and enhanced for loops are also covered.
This document discusses panel data analysis. Some key points:
- Panel data combines cross-sectional and time series data to observe multiple subjects over time in balanced and unbalanced panels.
- Panel data is useful for reducing noise, studying dynamic changes, and addressing issues with limited data availability.
- Choosing between fixed effects and random effects models depends on tests like the Hausman test and whether the unobserved effects are correlated with regressors.
- Panel data regression techniques like pooled mean group allow for heterogeneity across subjects while assuming some parameters are the same.
Detecting minor genetic variants has become essential to cancer
and infectious disease management. Many have turned to next
generation sequencing to fill this need given the common
perception that the limit of detection (LOD) for Sanger sequencing
is somewhere between 15% to 25%1,2,3. We have discovered a
software algorithmic solution to reduce this detection limit to 5%
and have demonstrated detection at even lower allele frequencies.
Standard Sanger sequencing protocols can be used and the
method can generate the familiar electropherogram data display
with noise substantially reduced. This opens up an alternative for
detecting low level somatic variants.
The key observation that enabled this development is that the noise
underlying Sanger sequencing fluorescence data (traces) appears
to be highly correlated to the primary sequence in the data. Figure
1 shows the electropherograms from two different samples: the
control sample has the same primary sequence as the test sample
which contains a few minor variants.
An Approach To Verilog-VHDL Interoperability For Synchronous DesignsDawn Cook
The document proposes a common semantic model called a Hierarchical Finite State Machine (HFSM) model to represent the semantics of synchronous designs written in either Verilog or VHDL. This HFSM model can be used as an intermediate format to enable formal verification and equivalence checking of designs written in different languages, as well as allow components developed in one language to be reused in projects using the other language. The paper defines the HFSM model and outlines an approach to extract the semantics of a synchronous subset of Verilog and VHDL and map them to this common model.
1. The document describes how to write a finite state machine (FSM) in Verilog using a Moore machine approach. It provides a template for creating an FSM with a state encoding, current state register, state transition logic, and output logic.
2. The template uses parameters to define a state encoding, a register to store the current state, and always blocks with non-blocking assignments to describe the state transition logic and output logic based on the current state.
3. The approach is meant to avoid common Verilog issues while keeping the code concise and readable for describing FSM designs.
This document describes different categories of diagnostic output from the DART data assimilation system, including:
1. State space output containing values of the model state vector before and after assimilation in netCDF format.
2. Observation space output containing values of observations in DART's obs_sequence format.
3. Regression confidence factor output containing values for state vector/observation pairs in ASCII format.
4. Program diagnostic output in the dart_log.out file including code version information, namelist values, and warnings/errors.
This document describes the different categories of diagnostic output from the DART data assimilation system: state space, observation space, regression confidence factors, and program diagnostics. It provides details on the format and contents of files for each category, and discusses tools for viewing the output files, including MATLAB diagnostics, netCDF viewers, and NCO utilities.
This document discusses various methods for testing finite state machines (FSMs), including transition tour (TT), distinguishing sequence (DS), characterizing set (W), and unique input output (UIO) methods. The TT method can detect output faults but not transfer faults, while the DS, W, and UIO methods can detect both output and transfer faults by generating test cases to verify the output and next state for each transition. The document provides examples to illustrate these methods and their abilities to generate test cases to check for different types of faults in FSM implementations.
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
This document summarizes research on using linear predictive coding (LPC) and related techniques for speech recognition and compression. Key points discussed include:
1) LPC is used to compress and encode speech signals for transmission by determining a filter to predict samples from past values, minimizing error. Filter coefficients are encoded and decoded.
2) LPC and PARCOR parameters can characterize phonemes and have potential for speech recognition by analyzing short frames of speech. Recognition rates of 65% for vowels and 94% for consonants were achieved.
3) An LPC-based speech coding system was implemented and tested for mobile radio communications, achieving a bit error rate performance suitable for speech transmission.
20180717 Introduction of Seamless BLE Connection Migration System (SeamBlue)Will Shen
(1) SeamBlue is a framework that enables seamless Bluetooth Low Energy (BLE) connection migration for unmodified IoT devices between multiple gateways.
(2) It uses static program analysis to automatically identify the state variables needed to capture a snapshot of the BLE connection state, avoiding manual code inspection.
(3) Upon a device moving out of range, the current gateway extracts the connection information, disseminates it to candidate gateways, and the new gateway can then recreate the connection state and continue serving the device without disrupting the connection.
PSYC 3663 SAFMEDS TERMS – Assignment 1Provide a definition for e.docxamrit47
The document defines 30 terms related to concepts in behavior analysis. It provides definitions for the following terms: functional relation, applied, generality, conceptually systematic, explanatory fiction, behaviour, environment, stimulus, interresponse time, momentary time sampling, whole-interval recording, partial-interval recording, baseline, positive reinforcement, negative reinforcement, motivating operation, stimulus control, Premack principle, reinforcer assessment, unconditioned reinforcer, conditioned reinforcer, automatic reinforcement, discriminative stimulus (SD), noncontingent reinforcement, high-probability request sequence, extinction, extinction burst, spontaneous recovery, and differential reinforcement. The document instructs the reader to provide definitions for each of the 30 terms.
This lab aims to implement a frequency offset correction algorithm called Moose and a frame detection method using correlation. Students will study the performance of these algorithms by incorporating them in a receiver synchronization block. The lab covers the Moose algorithm, sliding correlation algorithm and procedures to test them over a real wireless link between a USRP transmitter and receiver. Students are asked questions about the impact of frequency offsets, properties of training sequences, and challenges faced in implementing the systems.
This document discusses algorithms, pseudocode, and flowcharts. It defines an algorithm as a set of unambiguous and computable steps to solve a problem. The document outlines common programming structures like sequence, selection, and repetition. It provides examples of pseudocode and flowchart notation. Pseudocode uses natural language to describe algorithm logic while avoiding specific programming elements. Flowcharts use graphical symbols connected by arrows to depict program or algorithm flow.
Verilog is a hardware description language used to model electronic systems. Some key features include:
- It allows design at different levels of abstraction from logic gates to register transfer level.
- It supports both synthesis for implementation on FPGAs and ASICs as well as simulation to verify designs.
- It provides constructs like if/else statements, case statements, always blocks and for loops to describe hardware behavior.
- User-defined primitives and system tasks like $display and $monitor aid in debugging and testing designs.
MODEL OF A PROGRAM AS MULTITHREADED STOCHASTIC AUTOMATON AND ITS EQUIVALENT T...Sergey Staroletov
The document discusses modeling a program as a multi-threaded stochastic automaton and its equivalent transformation to a PROMELA model. It describes representing the program states, transitions, and operations as a mathematical abstraction called a finite automaton. The model can be extended to include additional features like events, messaging, threading and resource blocking to more accurately model modern software systems at a low level of abstraction. The model and its object-oriented implementation in Java are presented, along with the ability to describe it as an XML file for graphical representation and code generation. Abstract state machines are also briefly discussed as another formal modeling technique.
- The document details a state space solver approach for analog mixed-signal simulations using SystemC. It models analog circuits as sets of linear differential equations and solves them using the Runge-Kutta method of numerical integration.
- Two examples are provided: a digital voltage regulator simulation and a digital phase locked loop simulation. Both analog circuits are modeled in state space and simulated alongside a digital design to verify mixed-signal behavior.
- The state space approach allows modeling analog circuits without transistor-level details, improving simulation speed over traditional mixed-mode simulations while still capturing system-level behavior.
This document summarizes a formal analysis of the TESLA authentication protocol using the Timed OTS/CafeOBJ method. It provides an overview of the modeling and verification process, including:
1) Modeling the protocol, messages, and network as a timed observational transition system (TOTS) in the CafeOBJ algebraic specification language.
2) Formally specifying security properties to verify, such as an invariant that the receiver only accepts authentic messages from the actual sender.
3) Outlining the verification procedure using induction, lemmas, and proof scores executed with the CafeOBJ system.
This document discusses control structures in Java programming. It describes two types of control structures: branching structures and looping structures. Branching structures like if-else and switch statements allow modifying the flow of a program based on certain conditions. Looping structures like while, for, and do-while loops allow repeating blocks of code. Specific looping structures like nested loops, labeled loops, and enhanced for loops are also covered.
This document discusses panel data analysis. Some key points:
- Panel data combines cross-sectional and time series data to observe multiple subjects over time in balanced and unbalanced panels.
- Panel data is useful for reducing noise, studying dynamic changes, and addressing issues with limited data availability.
- Choosing between fixed effects and random effects models depends on tests like the Hausman test and whether the unobserved effects are correlated with regressors.
- Panel data regression techniques like pooled mean group allow for heterogeneity across subjects while assuming some parameters are the same.
Detecting minor genetic variants has become essential to cancer
and infectious disease management. Many have turned to next
generation sequencing to fill this need given the common
perception that the limit of detection (LOD) for Sanger sequencing
is somewhere between 15% to 25%1,2,3. We have discovered a
software algorithmic solution to reduce this detection limit to 5%
and have demonstrated detection at even lower allele frequencies.
Standard Sanger sequencing protocols can be used and the
method can generate the familiar electropherogram data display
with noise substantially reduced. This opens up an alternative for
detecting low level somatic variants.
The key observation that enabled this development is that the noise
underlying Sanger sequencing fluorescence data (traces) appears
to be highly correlated to the primary sequence in the data. Figure
1 shows the electropherograms from two different samples: the
control sample has the same primary sequence as the test sample
which contains a few minor variants.
An Approach To Verilog-VHDL Interoperability For Synchronous DesignsDawn Cook
The document proposes a common semantic model called a Hierarchical Finite State Machine (HFSM) model to represent the semantics of synchronous designs written in either Verilog or VHDL. This HFSM model can be used as an intermediate format to enable formal verification and equivalence checking of designs written in different languages, as well as allow components developed in one language to be reused in projects using the other language. The paper defines the HFSM model and outlines an approach to extract the semantics of a synchronous subset of Verilog and VHDL and map them to this common model.
1. The document describes how to write a finite state machine (FSM) in Verilog using a Moore machine approach. It provides a template for creating an FSM with a state encoding, current state register, state transition logic, and output logic.
2. The template uses parameters to define a state encoding, a register to store the current state, and always blocks with non-blocking assignments to describe the state transition logic and output logic based on the current state.
3. The approach is meant to avoid common Verilog issues while keeping the code concise and readable for describing FSM designs.
This document describes different categories of diagnostic output from the DART data assimilation system, including:
1. State space output containing values of the model state vector before and after assimilation in netCDF format.
2. Observation space output containing values of observations in DART's obs_sequence format.
3. Regression confidence factor output containing values for state vector/observation pairs in ASCII format.
4. Program diagnostic output in the dart_log.out file including code version information, namelist values, and warnings/errors.
This document describes the different categories of diagnostic output from the DART data assimilation system: state space, observation space, regression confidence factors, and program diagnostics. It provides details on the format and contents of files for each category, and discusses tools for viewing the output files, including MATLAB diagnostics, netCDF viewers, and NCO utilities.
This document discusses various methods for testing finite state machines (FSMs), including transition tour (TT), distinguishing sequence (DS), characterizing set (W), and unique input output (UIO) methods. The TT method can detect output faults but not transfer faults, while the DS, W, and UIO methods can detect both output and transfer faults by generating test cases to verify the output and next state for each transition. The document provides examples to illustrate these methods and their abilities to generate test cases to check for different types of faults in FSM implementations.
IJCER (www.ijceronline.com) International Journal of computational Engineerin...ijceronline
This document summarizes research on using linear predictive coding (LPC) and related techniques for speech recognition and compression. Key points discussed include:
1) LPC is used to compress and encode speech signals for transmission by determining a filter to predict samples from past values, minimizing error. Filter coefficients are encoded and decoded.
2) LPC and PARCOR parameters can characterize phonemes and have potential for speech recognition by analyzing short frames of speech. Recognition rates of 65% for vowels and 94% for consonants were achieved.
3) An LPC-based speech coding system was implemented and tested for mobile radio communications, achieving a bit error rate performance suitable for speech transmission.
Similar to 20041113 A Test Generation Tool for Specifications in the Form of State Machine (20)
20180717 Introduction of Seamless BLE Connection Migration System (SeamBlue)Will Shen
(1) SeamBlue is a framework that enables seamless Bluetooth Low Energy (BLE) connection migration for unmodified IoT devices between multiple gateways.
(2) It uses static program analysis to automatically identify the state variables needed to capture a snapshot of the BLE connection state, avoiding manual code inspection.
(3) Upon a device moving out of range, the current gateway extracts the connection information, disseminates it to candidate gateways, and the new gateway can then recreate the connection state and continue serving the device without disrupting the connection.
This document discusses bad smells in code that indicate refactoring may be needed. It defines refactoring as restructuring code without changing its external behavior to improve design, readability, and maintainability. Common bad smells include duplicated code, long or complex methods and classes, unused variables, primitive data types when objects could be used, and code that depends too much on other classes rather than being self-contained. The document provides examples of refactoring techniques to address each smell, such as extracting methods, replacing conditionals with polymorphism, and removing unnecessary dependencies between classes.
This document provides tutorials and examples for using Boost Spirit Qi, a C++ parsing library. It demonstrates how to parse numeric values, semantic actions, grammars, and structs. The tutorials include parsing floating point numbers, comma-separated lists, and attaching semantic actions. Examples show parsing complex numbers, adding numbers, parsing into vectors, Roman numerals, and a calculator grammar.
20070514 introduction to test ng and its application for test driven gui deve...Will Shen
TestNG is a testing framework that uses annotations to make testing more simple and flexible. It allows choosing different testing strategies like unit testing, integration testing, and GUI testing. The document introduces TestNG and its features like configuration methods, test grouping, dependency testing, and parametric testing. It also describes using TestNG-Abbot for test-driven GUI development, with an example of testing an email registration form by separating tests for the model and view.
20060411 face recognition using face arg matchingWill Shen
This document proposes a face recognition method using Face-ARG matching. It represents faces using an Attributed Relational Graph (Face-ARG) that encodes geometric and structural information. It constructs a correspondence graph between a reference and test Face-ARG using partial ARG matching. It then evaluates the stochastic distance between corresponding relation vector spaces to identify faces. The method was tested on the AR face database and was shown to be effective despite imperfect line extraction.
20060411 Analytic Hierarchy Process (AHP)Will Shen
The Analytic Hierarchy Process (AHP) is a decision-making tool that breaks down complex decisions into a series of pairwise comparisons. It allows decision makers to incorporate both qualitative and quantitative factors. The AHP works by:
1) Computing weights for each decision criterion through pairwise comparisons.
2) Scoring alternatives based on each criterion.
3) Multiplying the weights and scores to obtain overall scores for each alternative.
4) Ranking the alternatives based on their overall scores. Consistency is also checked to ensure reliable results. An example is provided to illustrate the AHP process.
20050314 specification based regression test selection with risk analysisWill Shen
This document describes a specification-based regression test selection technique with risk analysis. It selects targeted tests to cover changes in code or specifications, and safety tests directed by risk analysis. Safety tests are chosen using a risk exposure model factoring probability and cost of faults. Scenarios simulating user profiles are also selected based on their risk exposure covering critical test cases. The approach was evaluated on an IBM project and found effective, cost-efficient, and sensitive to risk. Future work includes determining when to stop testing and implementing the approach in a production environment.
The document discusses 10 techniques for testing different types of code elements in JUnit:
1. Testing equals() methods by creating objects with equal and unequal property values.
2. Testing void methods by observing side effects like state changes.
3. Testing constructors by examining exposed internal state or side effects.
4. Testing getters by comparing returned values to expectations.
5. Testing setters by observing side effects like state changes in dependent objects.
6. Testing interfaces by creating test-friendly implementations to cover all possibilities.
7. Testing exception handling by placing code in try/catch blocks and validating exceptions.
8. Testing collections by letting equals() determine equality rather
This document discusses testing elementary components in JUnit, including testing equals methods, methods that return nothing, constructors, getters, setters, interfaces, exceptions, collections, large objects, and objects that instantiate other objects. It provides examples and recommendations for each, such as comparing the result of a getter to an expected value, analyzing the side effects of methods that return nothing, and using a "spy" subclass to observe the behavior of a setter. The document is divided into sections for each of these elementary testing scenarios.
The document outlines a book on JUnit recipes for testing Java code. It is divided into three parts that cover the basics of JUnit, testing Java 2 Enterprise Edition (J2EE) applications, and advanced JUnit techniques. The first part introduces fundamentals like unit testing objects in isolation, the structure of writing test cases using the JUnit framework, and assertions. It also describes test-driven development and lists common elementary tests like testing equals methods, getters, setters, exceptions, and complex objects.
20051019 automating regression testing for evolving gui softwareWill Shen
The document describes DART (Daily Automated Regression Tester), a framework for automating regression testing of GUI software. DART includes modules for analyzing the GUI, generating test cases, executing tests, and evaluating code coverage. It uses a formal model of the GUI to represent objects, properties, events, and component interactions. Experiments applying DART to several applications showed it could test nightly builds within a night and achieve high code coverage efficiently. The conclusions state DART provides an effective process for smoke testing frequent builds of GUI software.
20060712 automated model based testing of community-driven open-source gui ap...Will Shen
1. The document proposes a model-based testing approach to test community-driven open-source GUI applications in an automated manner using concentric testing loops.
2. An event-flow graph model is used to represent all possible event sequences in the GUI and generate test cases. Tests are classified into smoke, crash, and comprehensive tests.
3. The approach was evaluated on four open-source applications, detecting bugs that persisted across multiple versions. The results demonstrate that resources can be better utilized through a loop-based testing approach for open-source GUI applications.
This document discusses application facades and their use in agile GUI development. It presents an example of using an application facade for a calculator application to keep the view thin and leverage testing. It then provides an example of using facades for a healthcare application, describing how they can encapsulate operations and handle type conversions between tiers. The conclusion emphasizes that facades help separate an application into layers to make the code easier to maintain and test, and allow most of the application to operate without the UI.
This document provides an overview and summary of Boost and Google Test (gtest). It discusses key Boost libraries like smart pointers, assign, foreach, and bind. It explains how Boost handles memory management and containers. It also covers the basics of gtest like writing assertions and test fixtures. The document recommends gtest as a lightweight unit testing framework compared to Cppunit.
This document discusses techniques for collecting data during software engineering field studies. It describes both direct techniques that involve direct interaction with participants, such as interviews, questionnaires, and observation. It also covers indirect techniques that collect data through artifacts of the participants' work, such as analyzing documentation, logs, and source code. For each technique, the document discusses advantages, disadvantages, and reporting guidelines to provide context on how the data was collected and analyzed. The goal is to help researchers select the most appropriate techniques and effectively report the results of their studies.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
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- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
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5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
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Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
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Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
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JavaLand 2024: Application Development Green Masterplan
20041113 A Test Generation Tool for Specifications in the Form of State Machine
1. A Test Generation Tool
for Specifications in the
Form of State Machine
Zheng-Wen Shen
2004/11/23
2. References
A Test Generation Tool for Specifications in the
Form of State Machines
Q. M. Tan, A. Petrenko and G. v. Bochmann
To appear in IEEE International Conference on
Communications -- 96, Dallas, USA, 1996.
3. Outline
1. Introduction
2. Using the tool
1. An Example
2. Functions provided by the Tool
3. The FSM specification
3. Test derivation methods
1. Preambles
2. Postambles
3. Transition Cover
4. State Identification Sequences
4. Experiments and Applications
5. Conclusion
4. 1. Introduction
2. Using the tool
1. An Example
2. Functions provided by the Tool
3. The FSM specification
3. Test derivation methods
1. Preambles
2. Postambles
3. Transition Cover
4. State Identification Sequences
4. Experiments and Applications
5. Conclusion
5. 1. Introduction
TAG tool - Test Automatic Generation
Automatically generates test case for an FSM
specification.
Transition identification approach for test derivation
Output test cases in the form of an SDL skeleton.
6. FSM has been extensively used in the testing
phases of system developments.
E.g. conformance testing of communication
protocols.
Communication protocols are the rules that
govern the communication between the
different components within a distributes system.
7-layer OSI model
7. Protocol conformance testing
A protocol specification generally can lead to
several implementations in software and/or
hardware.
Assure the compatibility with other
implementations of the same protocol.
8. The existing test derivation methods
Check each transition in an FSM specification at
least once (branch coverage criteria.)
Verify the tail state of the transition to obtain
high fault coverage and to guarantee
conformance in the context of a more general
fault model.
Using state identification techniques
Defect the fault that the FSM enters a different state than
specified.
9. Most of the existing protocols are not
completely specified.
Not all the sequences of interactions are foreseen.
The existing test derivation methods for
protocols are limited to completely specified
specifications.
TAG working directly for deterministic, partially
specified FSM specifications.
10. 1. Introduction
2. Using the tool
1. An Example
2. Functions provided by the Tool
3. The FSM specification
3. Test derivation methods
1. Preambles
2. Postambles
3. Transition Cover
4. State Identification Sequences
4. Experiments and Applications
5. Conclusion
11. 2. Using the tool
A complete test suite that guarantees full fault
coverage may be derived
A set of test cases that cover a given test
purpose may be derived.
Output format
Mnemonic format
SDL skeleton
12. 2.1 An example
To achieve a particular test purpose which is a certain
transition to be tested:
1. Bring the FSM from its initial state to the starting state of
the transition under test using the shortest input sequence
possible. – a preamble of the test case
2. Execute the transition and check the observed output
3. Check a tail state of the transition by observing its reaction
to a pre-selected set of state identification sequences.
4. Apply an input sequence to return to the initial state of the
FSM. – a postamble of the test case
13. State cover
The set of all preambles.
Transition cover
The set of sequences used to execute all specified
transitions.
State identification sequences
Distinguish states by their output reactions.
TAG implements the HSI method
14. HSI method
Similar to the widely used W-method
A characterization set is used for state identification.
A tuple of subsets of a W set.
Can be applied to partially specified FSMs.
18. 2.2 Functions provided by the tool
A text file containing the FSM specification with
suffix “.fsm”
Symbol table (.tbl)
FSM structure (.cpl)
Complete test derivation
A complete test suite is generated.
Selective test derivation
Give the test purpose, which specifies one transition
in the FSM.
19. The test output is written in a text file.
Mnemonic format (.mnc)
SDL skeleton (.sdl)
20. 2.3 the FSM specification
1. the state definitions
2. The input definitions
3. The output definitions
4. The transition definitions
5. The variable declaration (optional)
6. The homing sequence definition (optional)
7. “end;”
21. The state definitions are a list of state names.
The input definition are a list of input names.
The output definitions are list of output names.
The transition definitions define the FSM state table
itself by a list of transition specifications.
Current state name, input name, output name and next state
name.
May be followed by a set of the comments.
22. The variable definitions define the variables in
parameters.
Integer, Charstring, Octetstring, Boolean
Using Keyword “homing” to give a sequence of
input names as a homing sequence.
23. 1. Introduction
2. Using the tool
1. An Example
2. Functions provided by the Tool
3. The FSM specification
3. Test derivation methods
1. Preambles
2. Postambles
3. Transition Cover
4. State Identification Sequences
4. Experiments and Applications
5. Conclusion
24. 3.1 Preambles
A tree with the initial state as its root is
constructed such that the tail states of the
outgoing transitions from the state
corresponding to a current node.
All nodes in this tree must become a current
node once and only once in the order that they
enter this tree.
The path from the root to a given node is
preamble for the corresponding state.
26. 3.2 Postambles
A tree with given state as its root is constructed.
Once the initial state has been added to the tree,
the procedure stops.
The path from the root to the last added node is
a postamble from the given state.
Maybe no postamble from the given state.
28. 3.3 Transition Cover
The transition cover can be obtained by appending
each outgoing transition from this state to its preamble.
Preamble = {ε, 1, 13, 135 }
S0:ε::1, ε::4, ε::5
S1: 1::1, 1::2, 1::3, 1::4, 1::5
S2: 13::1, 13::2, 13::4, 13::5
S3: 135::1, 135::2, 135::4, 135::5
Transition Cover = {1, 4, 5, 11, 12, 13, 14, 15, 131, 132,
134, 135, 1351, 1352, 1354, 1355}
29. 3.4 State Identification Sequences.
The characterization set W is a set of input
sequence.
Harmonized state identification sets (HSI sets),
subsets of W.
{D0, D1, …, Dn-1}
Di is a set of prefixes of sequences in W
n is the number of states of S.
30. For any two distinguishable states Si and Sj of S, there
exists a sequence σ that is a prefix of both σi ∈ Di and
σj ∈ Dj such that σ can be accepted by these two states
and produces different outputs.
31. How is Optimal ?
1. The number of sequences in W is minimal.
2. The sum of their lengths is minimal.
To obtain a minimal characterization set for a
give FSM maybe an NP-Hard problem.
32. A heuristic solution
A1: A set P0 of all the state pairs that are
distinguishable for the given FSM is produced.
A2: With P0, a characterization set W is obtained
by forming a search tree from the input
alphabet to distinguish the state pairs in P0.
A3: From this W, some HSI set Di is selected for
each state i, such that the number of
distinguishable state pairs and the length of a
sequence are traded off.
33. The result of INRES responder
The result P0 of the algorithm A1 is the set of all
possible state pairs.
The characterization set W from the algorithm
A2 is {41}
The HSI sets {{41}, {41}, {4}, {4}}
34. The algorithm A1
The algorithm A1 is obtained by adapting the
FSM minimization algorithm give in
[ G. J. Holzmann. Design and Validation of
Computer Protocols, 1991 ]
35. The algorithm A2
Forms the root as the current node to probe
For each input word, a son is built if it can lead
to a better solution than other build nodes.
If it is estimated that a subtree with a minimal
number of branches and with a minimal average
length that distinguishes a maximal number of
state pairs could be formed by probing an
unprobed son of ti.
37. The algorithm A3
A sequence σk in W is selected such that
weighted sum of its length and the number of
the state pairs that it can not distinguish in the
left state pairs is minimal.
For each remaining state pair (l, m) that can be
distinguished by σk, find a prefix of σk such that
(l, m) is distinguished.
Then the prefix is put into the HSI sets Dl and
Dm.
38. W = {σ0, σ1,… σn-1}
σk :
Remain state pairs
σ:
distinguish ?
(l, m)
HSI Sets: {D0, D1, D2, .. Dl, …, Dm, …Dn-1}
39. 1. Introduction
2. Using the tool
1. An Example
2. Functions provided by the Tool
3. The FSM specification
3. Test derivation methods
1. Preambles
2. Postambles
3. Transition Cover
4. State Identification Sequences
4. Experiments and Applications
5. Conclusion
40. 4. Experiments and Applications
State num. 10 50 100 150 200
Transition num. 100 2500 10000 23500 40000
CPU time (sec.) 0.11 2.96 40.87 197.06 760.89
41. 1. Introduction
2. Using the tool
1. An Example
2. Functions provided by the Tool
3. The FSM specification
3. Test derivation methods
1. Preambles
2. Postambles
3. Transition Cover
4. State Identification Sequences
4. Experiments and Applications
5. Conclusion
42. 5. Conclusion
Proposed a heuristic solution to derive near-
optimal harmonized state identification sets.