另一种方法是do - while循环，尽管之前提到过，但没有例子可以显示它的样子:

do
{
    if (!executeStepA()) break;
    if (!executeStepB()) break;
    if (!executeStepC()) break;
    ...

    break; // skip the do-while condition :)
}
while (0);

executeThisFunctionInAnyCase();

(好吧，while循环已经有了一个答案，但do - while循环不会冗余检查true(在开始时)，而是在结束时检查xD(尽管可以跳过))。

在某些特殊情况下，虚拟继承树和虚拟方法调用可以处理决策树逻辑。

objectp -> DoTheRightStep();

我遇到过这种情况，它就像魔杖一样有效。 当然，如果你的ConditionX可以始终如一地翻译成“object Is A”条件，这是有意义的。

Don't. Sometimes you need the complexity. The trick is how you do it. Having the "what you do when the condition exists" may take up some room, making the if statement tree appear larger than it really is. So instead of doing things if a condition is set, just set a variable to a specific value for that case( enumeration or number, like 10,014. After the if tree, then have a case statement, and for that specific value, do whatever you would have done in the if tree. It will lighten up the tree. if x1 if x2 if x3 Var1:=100016; endif endif end if case var=100016 do case 100016 things...

如果条件被移动到单独的步骤下，条件可以被简化，这是一个c#伪代码，

其思想是使用编排而不是中央编排。

void Main()
{
    Request request = new Request();
    Response response = null;

    // enlist all the processors
    var processors = new List<IProcessor>() {new StepA() };

    var factory = new ProcessorFactory(processors);

    // execute as a choreography rather as a central orchestration.
    var processor = factory.Get(request, response);
    while (processor != null)
    {
        processor.Handle(request, out response);
        processor = factory.Get(request, response); 
    }

    // final result...
    //response
}

public class Request
{
}

public class Response
{
}

public interface IProcessor
{
    bool CanProcess(Request request, Response response);
    bool Handle(Request request, out Response response);
}

public interface IProcessorFactory
{
    IProcessor Get(Request request, Response response);
}   

public class ProcessorFactory : IProcessorFactory
{
    private readonly IEnumerable<IProcessor> processors;

    public ProcessorFactory(IEnumerable<IProcessor> processors)
    {
        this.processors = processors;
    }

    public IProcessor Get(Request request, Response response)
    {
        // this is an iterator
        var matchingProcessors = processors.Where(x => x.CanProcess(request, response)).ToArray();

        if (!matchingProcessors.Any())
        {
            return null;
        }

        return matchingProcessors[0];
    }
}

// Individual request processors, you will have many of these...
public class StepA: IProcessor
{
    public bool CanProcess(Request request, Response response)
    {
        // Validate wether this can be processed -- if condition here
        return false;
    }

    public bool Handle(Request request, out Response response)
    {
        response = null;
        return false;
    }
}

假设你不需要单独的条件变量，反转测试并使用else-falthrough作为“ok”路径，将允许你获得更垂直的if/else语句集:

bool failed = false;

// keep going if we don't fail
if (failed = !executeStepA())      {}
else if (failed = !executeStepB()) {}
else if (failed = !executeStepC()) {}
else if (failed = !executeStepD()) {}

runThisFunctionInAnyCase();

省略失败的变量使代码在我看来有点太晦涩了。

在里面声明变量就可以了，不用担心= vs ==。

// keep going if we don't fail
if (bool failA = !executeStepA())      {}
else if (bool failB = !executeStepB()) {}
else if (bool failC = !executeStepC()) {}
else if (bool failD = !executeStepD()) {}
else {
     // success !
}

runThisFunctionInAnyCase();

这很模糊，但很紧凑:

// keep going if we don't fail
if (!executeStepA())      {}
else if (!executeStepB()) {}
else if (!executeStepC()) {}
else if (!executeStepD()) {}
else { /* success */ }

runThisFunctionInAnyCase();

如果你不喜欢goto和do {} while (0);循环和喜欢使用c++，你也可以使用临时lambda来达到同样的效果。

[&]() { // create a capture all lambda
  if (!executeStepA()) { return; }
  if (!executeStepB()) { return; }
  if (!executeStepC()) { return; }
}(); // and immediately call it

executeThisFunctionInAnyCase();