Why My Student Project’s Code Is a Nightmare—and How to Fix It
A graduate student recounts the chaotic state of his research team's C# data‑mining project, highlighting poor naming conventions, oversized classes, overuse of singletons, redundant code, lack of proper inheritance, and other anti‑patterns, while offering concrete suggestions such as using meaningful identifiers, applying the single‑responsibility principle, leveraging LINQ, and adopting MVVM for cleaner, more maintainable code.
I'm a second‑year graduate student about to graduate, leading a small team on a data‑mining project. To avoid being blocked from graduating, I started teaching design patterns and coding style from day one.
However, after reviewing the SVN code, I discovered numerous issues:
Bad naming : Variables like a1, a2, and even Chinese pinyin such as "JuleiMethod" are used; class names are unclear.
Huge classes : A single MainWindow class contains about 5,000 lines, 100 fields and 50 methods, violating the single‑responsibility principle.
Code duplication : Similar classes repeat the same methods many times instead of using inheritance.
Excessive constructors : Many parameters are forced into constructors instead of using default values or property accessors.
Overuse of singletons and static members : Leads to memory‑leak concerns and poor extensibility.
Unnecessary Java‑style getters/setters in C# : Adding getXXX/setXXX methods despite C# properties.
Comment overload : Source files contain far more comment lines than code, including obsolete test code.
Improper element removal in collections : Using foreach to remove items causes runtime errors; a custom RemoveElements extension method is shown.
Repeated array usage : Creating new arrays inside tight loops instead of using lazy IEnumerable or LINQ.
Hard‑coded console output : Using Console.WriteLine everywhere instead of a proper logging framework.
Copy‑paste code : Repeating similar code blocks instead of writing a simple for‑loop.
Event handling in WPF : Directly wiring button events leads to tight coupling; recommends using data binding and MVVM.
Debugging dumps : Dumping huge text files for debugging and committing them to SVN.
Below is the extension method that safely removes elements from an IList based on a filter and optional action:
public static void RemoveElements(this IList source, Func filter, Action method)
{
var indexs = (from d in source where filter(d) select source.IndexOf(d)).ToList();
indexs.Sort();
for (var i = indexs.Count - 1; i >= 0; i--)
{
method?.Invoke(source[indexs[i]]);
source.RemoveAt(indexs[i]);
}
}By applying meaningful identifiers, the single‑responsibility principle, LINQ, proper logging, and MVVM, the code can become far more maintainable and extensible.
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