PHP development tools_PHP tutorial
1 Design Tools
UML and related design tools
- Argo UML
UML drawing tool, supports PHP stub generation. (commercial spin off is Posideon) – written in Java.
- Umbrello UML
UML drawing tool, supports PHP stub generation. Requires Unix/KDE.
-Dia
Drawing tool that supports UML - Use AutoDia to generate PHP.
- XMI 2 PHP
Generate PHP code from XMI document, using XML to describe a form of UML.
Two coding tools
Recommended IDE / Editor
- PHP Eclipse
PHP plug-in for Eclipse IDE
- PHP Edit
Probably Windows Download the best free IDE
- JEdit
An IDE that supports PHP (plus loads more). Written in Java, so platform independent.
- Jext
The twin brother of JEdit.
- gPHPEdit
The best(?) PHP editor under Gnome/Linux.
- SciTE
Cross-platform editor
- PHP Mode for Emacs
PHP Mode for Unix EMACS IDE
Three testing tools
Debuggers and Profilers
- XDebug (recommended)
Excellent debugger and profiler extensions
- Advanced PHP Debugger
George Schlossnagle’s debugger
- PEAR::Benchmark
Benchmarking and profiling tools written in PHP
- DBG
PHP Debugger
Unit testing framework
- Simple Test (recommended)
Excellent documentation and support about mock objects
- PEAR::PHPUnit
Four deployment tools
Build/Deployment Tools
- PEAR Package Manager (recommended)
Allows you to install PEAR packages (over the network) and package your code for installation. Run http://pear.php.net/go-pear on the command line. Written in PHP.
- PEAR::PackageFileManager
Automatically generate the package.xml file used by Package Manager. Written in PHP.
- Phing
PHP’s build tool, equivalent to Apache ANT. Worth looking into when building larger projects. Written in PHP.
- ZZ/OSS Installer
PHP-based installation wizard for publishing professional PHP modular applications.
Accelerator
- Turck MMCache (strongly recommended)
Integrate OPCODE Cache, script encoder, profiler and dynamic content cache (read persistence) in one. Windows version available.
- PHP Accelerator (recommended)
OPCODE Cache
Five management tools
Document generation tool
- phpDocumentor (recommended)
Comment with source code Generate API documentation (like Javadoc). Output can be "templated" and supports HTML, PDF and CHM formats. Written in PHP.
- PHPXref (Recommended)
Create a "cross-reference" of the source code, allowing you to see where a variable/method/function is declared and where it is referenced. Written in Perl.
Version control tool (this part is added by Easy)
-CVS
An open source version control system. Many large projects, including PHP itself, use it to manage code.
-CVSNT
CVS server program for Windows NT (XP also works)

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Using the chrono library in C can allow you to control time and time intervals more accurately. Let's explore the charm of this library. C's chrono library is part of the standard library, which provides a modern way to deal with time and time intervals. For programmers who have suffered from time.h and ctime, chrono is undoubtedly a boon. It not only improves the readability and maintainability of the code, but also provides higher accuracy and flexibility. Let's start with the basics. The chrono library mainly includes the following key components: std::chrono::system_clock: represents the system clock, used to obtain the current time. std::chron

C code optimization can be achieved through the following strategies: 1. Manually manage memory for optimization use; 2. Write code that complies with compiler optimization rules; 3. Select appropriate algorithms and data structures; 4. Use inline functions to reduce call overhead; 5. Apply template metaprogramming to optimize at compile time; 6. Avoid unnecessary copying, use moving semantics and reference parameters; 7. Use const correctly to help compiler optimization; 8. Select appropriate data structures, such as std::vector.

Measuring thread performance in C can use the timing tools, performance analysis tools, and custom timers in the standard library. 1. Use the library to measure execution time. 2. Use gprof for performance analysis. The steps include adding the -pg option during compilation, running the program to generate a gmon.out file, and generating a performance report. 3. Use Valgrind's Callgrind module to perform more detailed analysis. The steps include running the program to generate the callgrind.out file and viewing the results using kcachegrind. 4. Custom timers can flexibly measure the execution time of a specific code segment. These methods help to fully understand thread performance and optimize code.

C performs well in real-time operating system (RTOS) programming, providing efficient execution efficiency and precise time management. 1) C Meet the needs of RTOS through direct operation of hardware resources and efficient memory management. 2) Using object-oriented features, C can design a flexible task scheduling system. 3) C supports efficient interrupt processing, but dynamic memory allocation and exception processing must be avoided to ensure real-time. 4) Template programming and inline functions help in performance optimization. 5) In practical applications, C can be used to implement an efficient logging system.

The main steps and precautions for using string streams in C are as follows: 1. Create an output string stream and convert data, such as converting integers into strings. 2. Apply to serialization of complex data structures, such as converting vector into strings. 3. Pay attention to performance issues and avoid frequent use of string streams when processing large amounts of data. You can consider using the append method of std::string. 4. Pay attention to memory management and avoid frequent creation and destruction of string stream objects. You can reuse or use std::stringstream.

DMA in C refers to DirectMemoryAccess, a direct memory access technology, allowing hardware devices to directly transmit data to memory without CPU intervention. 1) DMA operation is highly dependent on hardware devices and drivers, and the implementation method varies from system to system. 2) Direct access to memory may bring security risks, and the correctness and security of the code must be ensured. 3) DMA can improve performance, but improper use may lead to degradation of system performance. Through practice and learning, we can master the skills of using DMA and maximize its effectiveness in scenarios such as high-speed data transmission and real-time signal processing.

The application of static analysis in C mainly includes discovering memory management problems, checking code logic errors, and improving code security. 1) Static analysis can identify problems such as memory leaks, double releases, and uninitialized pointers. 2) It can detect unused variables, dead code and logical contradictions. 3) Static analysis tools such as Coverity can detect buffer overflow, integer overflow and unsafe API calls to improve code security.

To implement loose coupling design in C, you can use the following methods: 1. Use interfaces, such as defining the Logger interface and implementing FileLogger and ConsoleLogger; 2. Dependency injection, such as the DataAccess class receives Database pointers through the constructor; 3. Observer mode, such as the Subject class notifies ConcreteObserver and AnotherObserver. Through these technologies, dependencies between modules can be reduced and code maintainability and flexibility can be improved.
